default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCVPR 2019: Long Beach, CA, USA - Workshops
- IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019. Computer Vision Foundation / IEEE 2019
The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security
- Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta N. Sinha, Oliver Cossairt, Sing Bing Kang:
Privacy-Preserving Action Recognition Using Coded Aperture Videos. 1-10 - Puspita Majumdar, Akshay Agarwal
, Richa Singh, Mayank Vatsa:
Evading Face Recognition via Partial Tampering of Faces. 11-20 - Sola S. Shirai, Jacob Whitehill:
Privacy-Preserving Annotation of Face Images Through Attribute-Preserving Face Synthesis. 21-29 - Xiuli Bi, Yang Wei, Bin Xiao, Weisheng Li:
RRU-Net: The Ringed Residual U-Net for Image Splicing Forgery Detection. 30-39 - Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Shai Halevi:
Towards Deep Neural Network Training on Encrypted Data. 40-48 - Simen Thys, Wiebe Van Ranst, Toon Goedemé:
Fooling Automated Surveillance Cameras: Adversarial Patches to Attack Person Detection. 49-55 - Tao Li, Lei Lin:
AnonymousNet: Natural Face De-Identification With Measurable Privacy. 56-65 - Vivek B. S., Arya Baburaj, R. Venkatesh Babu:
Regularizer to Mitigate Gradient Masking Effect During Single-Step Adversarial Training. 66-73 - Marzieh Gheisari, Teddy Furon, Laurent Amsaleg:
Privacy Preserving Group Membership Verification and Identification. 74-82 - Viresh Gupta, Mohit Agarwal, Manik Arora, Tanmoy Chakraborty, Richa Singh, Mayank Vatsa:
Bag-Of-Lies: A Multimodal Dataset for Deception Detection. 83-90 - Hossein Hosseini, Sreeram Kannan, Radha Poovendran:
Dropping Pixels for Adversarial Robustness. 91-97 - Reihaneh Torkzadehmahani, Peter Kairouz, Benedict Paten:
DP-CGAN: Differentially Private Synthetic Data and Label Generation. 98-104 - Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong:
Defending Against Adversarial Attacks Using Random Forest. 105-114
3rd International Workshop on Visual Odometry & Computer Vision Applications Based on Location Clues
- Minhaeng Lee, Charless C. Fowlkes:
CeMNet: Self-Supervised Learning for Accurate Continuous Ego-Motion Estimation. 354-363 - Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani, Mohamed El-Helw:
Motion and Depth Augmented Semantic Segmentation for Autonomous Navigation. 364-370 - Liang Yang, Hao Jiang, Zhouyuan Huo, Jizhong Xiao:
Visual-GPS: Ego-Downward and Ambient Video Based Person Location Association. 371-380 - Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova:
Unsupervised Monocular Depth and Ego-Motion Learning With Structure and Semantics. 381-388
Precognition: Seeing through the Future
- Antoine Miech, Ivan Laptev, Josef Sivic, Heng Wang, Lorenzo Torresani, Du Tran:
Leveraging the Present to Anticipate the Future in Videos. 2915-2922 - Judith Bütepage, Hedvig Kjellström, Danica Kragic:
Predicting the What and How - a Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling. 2923-2926 - Son Thai Ly, Nhu-Tai Do, Gueesang Lee, Soo-Hyung Kim, Hyung-Jeong Yang:
Multimodal 2D and 3D for In-The-Wild Facial Expression Recognition. 2927-2934 - Lukás Neumann, Andrew Zisserman, Andrea Vedaldi:
Future Event Prediction: If and When. 2935-2943 - Max Hudnell, True Price, Jan-Michael Frahm:
Robust Aleatoric Modeling for Future Vehicle Localization. 2944-2951 - Chiho Choi, Behzad Dariush:
Learning to Infer Relations for Future Trajectory Forecast. 2952-2955 - Sebastian Agethen, Hu-Cheng Lee, Winston H. Hsu:
Anticipation of Human Actions With Pose-Based Fine-Grained Representations. 2956-2959 - Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G. Hauptmann, Li Fei-Fei:
Peeking Into the Future: Predicting Future Person Activities and Locations in Videos. 2960-2963 - Javad Amirian, Jean-Bernard Hayet, Julien Pettré:
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories With GANs. 2964-2972 - Baohua Sun, Lin Yang, Wenhan Zhang, Michael Lin, Patrick Dong, Charles Young, Jason Dong:
SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data. 2973-2981
Multimodal Learning and Applications
- Giorgio Santolini, Paolo Rota, Davide Gandolfi, Paolo Bosetti:
Cut Quality Estimation in Industrial Laser Cutting Machines: A Machine Learning Approach. 389-397 - Bo Zhao, Yanwei Fu, Rui Liang, Jiahong Wu, Yonggang Wang, Yizhou Wang:
A Large-Scale Attribute Dataset for Zero-Shot Learning. 398-407 - Giorgio Giannone, Boris Chidlovskii:
Learning Common Representation From RGB and Depth Images. 408-415 - Martin Garbade, Yueh-Tung Chen, Johann Sawatzky, Juergen Gall:
Two Stream 3D Semantic Scene Completion. 416-425 - Han Zou, Jianfei Yang, Hari Prasanna Das, Huihan Liu, Yuxun Zhou, Costas J. Spanos:
WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity Recognition. 426-433 - Dayan Guan, Xing Luo, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, George Vosselman, Michael Ying Yang:
Unsupervised Domain Adaptation for Multispectral Pedestrian Detection. 434-443 - Wentong Liao, Bodo Rosenhahn, Ling Shuai, Michael Ying Yang:
Natural Language Guided Visual Relationship Detection. 444-453 - Bowen Pan, Jiankai Sun, Wuwei Lin, Limin Wang, Weiyao Lin:
Cross-Stream Selective Networks for Action Recognition. 454-460 - Timmy S. T. Wan, Jia-Hong Lee, Yi-Ming Chan, Chu-Song Chen:
Co-Compressing and Unifying Deep CNN Models for Efficient Human Face and Speaker Recognition. 461-468
Photogrammetric Computer Vision
- Iraklis Tsekourakis, Philippos Mordohai:
Measuring the Effects of Temporal Coherence in Depth Estimation for Dynamic Scenes. 2867-2875 - Soshi Shimada, Vladislav Golyanik, Christian Theobalt, Didier Stricker:
IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction. 2876-2885 - Matan Goldman, Tal Hassner, Shai Avidan:
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation. 2886-2895 - Xin Wang, Teng Xiao, Michael Gruber, Christian Heipke:
Robustifying Relative Orientations With Respect to Repetitive Structures and Very Short Baselines for Global SfM. 2896-2904 - Oleksandra Bielova, Ronny Hänsch, Andreas Ley, Olaf Hellwich:
A Digital Image Processing Pipeline for Modelling of Realistic Noise in Synthetic Images. 2905-2914
4th BMTT MOT Challenge Workshop - How crowded can it get?
- Roberto Henschel, Yunzhe Zou, Bodo Rosenhahn:
Multiple People Tracking Using Body and Joint Detections. 770-779 - Roberto Henschel, Timo von Marcard, Bodo Rosenhahn:
Simultaneous Identification and Tracking of Multiple People Using Video and IMUs. 780-789
Women in Computer Vision Workshop
- Irene Amerini, Elena Balashova, Sayna Ebrahimi, Kathryn Leonard, Arsha Nagrani, Amaia Salvador:
WiCV 2019: The Sixth Women In Computer Vision Workshop. 469-471 - Ananya Gupta, Elisabeth Welburn, Simon Watson, Hujun Yin:
Post Disaster Mapping With Semantic Change Detection in Satellite Imagery. 472-474 - Mona Jalal, Josef B. Spjut, Ben Boudaoud, Margrit Betke:
SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition With Distractors. 475-477 - Samira Pouyanfar, Tianyi Wang, Shu-Ching Chen:
Residual Attention-Based Fusion for Video Classification. 478-480 - Doris Antensteiner, Svorad Stolc, Daniel Soukup:
Single Image Multi-Spectral Photometric Stereo Using a Split U-Shaped CNN. 481-483 - Carianne Martinez, Kevin M. Potter, Matthew D. Smith, Emily A. Donahue, Lincoln Collins, John P. Korbin, Scott A. Roberts:
Segmentation Certainty Through Uncertainty: Uncertainty-Refined Binary Volumetric Segmentation Under Multifactor Domain Shift. 484-486 - Brigit Schroeder, Alexandre Alahi:
Using a Priori Knowledge to Improve Scene Understanding. 487-489 - Kaylen J. Pfisterer, Robert Amelard, Braeden Syrnyk, Alexander Wong:
Towards Computer Vision Powered Color-Nutrient Assessment of Pureed Food. 490-492 - Zeinab Gharibbafghi, Jiaojiao Tian, Peter Reinartz:
Superpixel-Based 3D Building Model Refinement and Change Detection, Using VHR Stereo Satellite Imagery. 493-495 - Audrey G. Chung, Paul W. Fieguth, Alexander Wong:
Assessing Architectural Similarity in Populations of Deep Neural Networks. 496-498 - Akshita Mittel, Purna Sowmya Munukutla:
Visual Transfer Between Atari Games Using Competitive Reinforcement Learning. 499-501 - Jing Mu, Xinfeng Zhang, Shuyuan Zhu, Ruiqin Xiong:
Riemannian Loss for Image Restoration. 502-504 - Xiaodan Hu, Mohamed A. Naiel, Alexander Wong, Mark Lamm, Paul W. Fieguth:
RUNet: A Robust UNet Architecture for Image Super-Resolution. 505-507 - Anuja P. Parameshwaran, Heta P. Desai, Rajshekhar Sunderraman, Michael Weeks:
Transfer Learning for Classifying Single Hand Gestures on Comprehensive Bharatanatyam Mudra Dataset. 508-510 - Zengyan Wang, Fangyu Li, Thiab R. Taha, Hamid R. Arabnia:
Improved Automating Seismic Facies Analysis Using Deep Dilated Attention Autoencoders. 511-513 - Niveditha Kalavakonda, Blake Hannaford, Zeeshan Qazi, Laligam N. Sekhar:
Autonomous Neurosurgical Instrument Segmentation Using End-To-End Learning. 514-516
FFSS-USAD
- Xingxing Zou, Xiangheng Kong, Waikeung Wong, Congde Wang, Yuguang Liu, Yang Cao:
FashionAI: A Hierarchical Dataset for Fashion Understanding. 296-304 - Hirokatsu Kataoka, Yutaka Satoh, Kaori Abe, Munetaka Minoguchi, Akio Nakamura:
Ten-Million-Order Human Database for World-Wide Fashion Culture Analysis. 305-312 - Yusan Lin, Maryam Moosaei, Hao Yang:
Learning Personal Tastes in Choosing Fashion Outfits. 313-315 - Sanghyuk Park, Minchul Shin, Sungho Ham, Seungkwon Choe, Yoohoon Kang:
Study on Fashion Image Retrieval Methods for Efficient Fashion Visual Search. 316-319 - Dong Liu, Rohit Puri, Nagendra Kamath, Subhabrata Bhattacharya:
Modeling Image Composition for Visual Aesthetic Assessment. 320-322 - Qing Ping, Bing Wu, Wanying Ding, Jiangbo Yuan:
Fashion-AttGAN: Attribute-Aware Fashion Editing With Multi-Objective GAN. 323-325 - Ayush Chopra, Abhishek Sinha, Hiresh Gupta, Mausoom Sarkar, Kumar Ayush, Balaji Krishnamurthy:
Powering Robust Fashion Retrieval With Information Rich Feature Embeddings. 326-334 - Nour Karessli, Romain Guigourès, Reza Shirvany:
SizeNet: Weakly Supervised Learning of Visual Size and Fit in Fashion Images. 335-343 - Michal Kucer, Naila Murray:
A Detect-Then-Retrieve Model for Multi-Domain Fashion Item Retrieval. 344-353
Perception Beyond the Visible Spectrum workshop
- Rajeev Bhatt, M. Gökhan Uzunbas, Thai Hoang, Ozge C. Whiting:
Segmentation of Low-Level Temporal Plume Patterns From IR Video. 847-854 - James F. Mullen Jr., Franklin R. Tanner, Phil A. Sallee:
Comparing the Effects of Annotation Type on Machine Learning Detection Performance. 855-861 - David-Alexandre Beaupré, Guillaume-Alexandre Bilodeau:
Siamese CNNs for RGB-LWIR Disparity Estimation. 862-870 - Tegan H. Emerson, Colin C. Olson, Anthony Lutz:
Image Recovery in the Infrared Domain via Path-Augmented Compressive Sampling Matching Pursuit. 871-880 - Alexei Bastidas, Hanlin Tang:
Channel Attention Networks. 881-888 - Rudrasis Chakraborty, Jiayun Wang, Stella X. Yu:
Sur-Real: Frechet Mean and Distance Transform for Complex-Valued Deep Learning. 889-897 - Samr Ali, Nizar Bouguila:
Variational Learning of Beta-Liouville Hidden Markov Models for Infrared Action Recognition. 898-906 - Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim:
SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning. 907-915 - Sebastian Moosbauer, Daniel König, Jens Jäkel, Michael Teutsch:
A Benchmark for Deep Learning Based Object Detection in Maritime Environments. 916-925 - Kin Gwn Lore, Kishore K. Reddy, Michael Giering, Edgar A. Bernal:
Generative Adversarial Networks for Spectral Super-Resolution and Bidirectional RGB-To-Multispectral Mapping. 926-933 - Duohan Liang, Guoliang Fan, Guangfeng Lin, Wanjun Chen, Xiaorong Pan, Hong Zhu:
Three-Stream Convolutional Neural Network With Multi-Task and Ensemble Learning for 3D Action Recognition. 934-940 - Farzan Erlik Nowruzi, Wassim A. El Ahmar, Robert Laganière, Amir H. Ghods:
In-Vehicle Occupancy Detection With Convolutional Networks on Thermal Images. 941-948 - Nate Lannan, Guoliang Fan:
Filter Guided Manifold Optimization in the Autoencoder Latent Space. 949-955 - Savas Özkan, Gozde Bozdagi Akar:
Hyperspectral Data to Relative Lidar Depth: An Inverse Problem for Remote Sensing. 956-963 - Mahdi Yazdanpour, Guoliang Fan, Weihua Sheng:
Online Reconstruction of Indoor Scenes With Local Manhattan Frame Growing. 964-970 - Armin Mehri, Ángel D. Sappa:
Colorizing Near Infrared Images Through a Cyclic Adversarial Approach of Unpaired Samples. 971-979 - Domenick Poster, Shuowen Hu, Nasser M. Nasrabadi, Benjamin S. Riggan:
An Examination of Deep-Learning Based Landmark Detection Methods on Thermal Face Imagery. 980-987 - Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman:
Pedestrian Detection in Thermal Images Using Saliency Maps. 988-997 - Edgar A. Bernal:
Surrogate Contrastive Network for Supervised Band Selection in Multispectral Computer Vision Tasks. 998-1006 - Lin Guo, Guoliang Fan, Weihua Sheng:
Dual Graphical Models for Relational Modeling of Indoor Object Categories. 1007-1013 - Patricia L. Suarez, Ángel D. Sappa, Boris Xavier Vintimilla, Riad I. Hammoud:
Image Vegetation Index Through a Cycle Generative Adversarial Network. 1014-1021 - Yumi Iwashita, Kazuto Nakashima, Sir Rafol, Adrian Stoica, Ryo Kurazume:
MU-Net: Deep Learning-Based Thermal IR Image Estimation From RGB Image. 1022-1028 - Chaitanya Devaguptapu, Ninad Akolekar, Manuj M. Sharma, Vineeth N. Balasubramanian:
Borrow From Anywhere: Pseudo Multi-Modal Object Detection in Thermal Imagery. 1029-1038
Embedded Vision Workshop
- Tse-Wei Chen, Motoki Yoshinaga, Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Kinya Osa, Masami Kato:
Condensation-Net: Memory-Efficient Network Architecture With Cross-Channel Pooling Layers and Virtual Feature Maps. 149-157 - Fabio Tosi, Matteo Poggi, Stefano Mattoccia:
Leveraging Confident Points for Accurate Depth Refinement on Embedded Systems. 158-167 - Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Tse-Wei Chen, Kinya Osa, Masami Kato:
DupNet: Towards Very Tiny Quantized CNN With Improved Accuracy for Face Detection. 168-177
Bias Estimation in Face Analytics (BEFA)
- Rubén Vera-Rodríguez, Marta Blázquez, Aythami Morales, Ester Gonzalez-Sosa, João C. Neves, Hugo Proença:
FaceGenderID: Exploiting Gender Information in DCNNs Face Recognition Systems. 2254-2260 - Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter:
Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data. 2261-2268 - Nisha Srinivas, Karl Ricanek, Dana Michalski, David S. Bolme, Michael King:
Face Recognition Algorithm Bias: Performance Differences on Images of Children and Adults. 2269-2277 - Krishnapriya K. S, Kushal Vangara, Michael C. King, Vitor Albiero, Kevin W. Bowyer:
Characterizing the Variability in Face Recognition Accuracy Relative to Race. 2278-2285 - Vidya Muthukumar:
Color-Theoretic Experiments to Understand Unequal Gender Classification Accuracy From Face Images. 2286-2295
EarthVision
- Benjamin Kellenberger, Diego Marcos, Devis Tuia:
When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images. 1414-1422 - Xudong Jin, Yanfeng Gu:
Intrinsic Scene Properties From Hyperspectral Images and LiDAR. 1423-1431 - Jacob Shermeyer, Adam Van Etten:
The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery. 1432-1441 - Liuyun Duan, Mathieu Desbrun, Anne Giraud, Frederic Trastour, Lionel Laurore:
Large-Scale DTM Generation From Satellite Data. 1442-1450 - Matthew J. Leotta, Chengjiang Long, Bastien Jacquet, Matthieu Zins, Dan Lipsa, Jie Shan, Bo Xu, Zhixin Li, Xu Zhang, Shih-Fu Chang, Matthew Purri, Jia Xue, Kristin J. Dana:
Urban Semantic 3D Reconstruction From Multiview Satellite Imagery. 1451-1460 - Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection. 1461-1470 - Ksenia Bittner, Peter Reinartz, Marco Körner:
Late or Earlier Information Fusion From Depth and Spectral Data? Large-Scale Digital Surface Model Refinement by Hybrid-CGAN. 1471-1478 - Muhammad Usman Rafique, Hunter Blanton, Nathan Jacobs:
Weakly Supervised Fusion of Multiple Overhead Images. 1479-1486
Bioimage Computing
- Tim Laibacher, Tillman Weyde, Sepehr Jalali:
M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Real-World Applications. 115-124 - Yi Liu, Abhishek Kolagunda, Wayne Treible, Alex Nedo, Jeffrey Caplan, Chandra Kambhamettu:
Intersection to Overpass: Instance Segmentation on Filamentous Structures With an Orientation-Aware Neural Network and Terminus Pairing Algorithm. 125-133 - Faïçal Selka, Jasmine Burguet, Eric Biot, Thomas Blein, Patrick Laufs, Philippe Andrey:
Surface Parameterization and Registration for Statistical Multiscale Atlasing of Organ Development. 134-139 - Ali S. Hamad, Megan Haney, Teresa E. Lever, Filiz Bunyak:
Automated Segmentation of the Vocal Folds in Laryngeal Endoscopy Videos Using Deep Convolutional Regression Networks. 140-148
5th International Workshop on Computer Vision in Sports (CVsports)
- A. J. Piergiovanni, Michael S. Ryoo:
Early Detection of Injuries in MLB Pitchers From Video. 2431-2438 - Runze Li, Bir Bhanu:
Fine-Grained Visual Dribbling Style Analysis for Soccer Videos With Augmented Dribble Energy Image. 2439-2447 - Patrick Schlosser, David Münch, Michael Arens:
Investigation on Combining 3D Convolution of Image Data and Optical Flow to Generate Temporal Action Proposals. 2448-2456 - Hengyue Liu, Bir Bhanu:
Pose-Guided R-CNN for Jersey Number Recognition in Sports. 2457-2466 - Gagan Kanojia, Sudhakar Kumawat, Shanmuganathan Raman:
Attentive Spatio-Temporal Representation Learning for Diving Classification. 2467-2476 - Maxime Istasse, Julien Moreau, Christophe De Vleeschouwer:
Associative Embedding for Team Discrimination. 2477-2486 - Lewis Bridgeman, Marco Volino, Jean-Yves Guillemaut, Adrian Hilton:
Multi-Person 3D Pose Estimation and Tracking in Sports. 2487-2496 - Jianhui Chen, James J. Little:
Sports Camera Calibration via Synthetic Data. 2497-2504 - Anthony Cioppa, Adrien Deliège, Maxime Istasse, Christophe De Vleeschouwer, Marc Van Droogenbroeck:
ARTHuS: Adaptive Real-Time Human Segmentation in Sports Through Online Distillation. 2505-2514 - Saikat Sarkar, Amlan Chakrabarti, Dipti Prasad Mukherjee:
Generation of Ball Possession Statistics in Soccer Using Minimum-Cost Flow Network. 2515-2523 - Dan Zecha, Moritz Einfalt, Rainer Lienhart:
Refining Joint Locations for Human Pose Tracking in Sports Videos. 2524-2532 - Ryoji Ogata, Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa:
Temporal Distance Matrices for Squat Classification. 2533-2542 - Zixi Cai, Helmut Neher, Kanav Vats, David A. Clausi, John S. Zelek:
Temporal Hockey Action Recognition via Pose and Optical Flows. 2543-2552 - William J. McNally, Kanav Vats, Tyler Pinto, Chris Dulhanty, John McPhee, Alexander Wong:
GolfDB: A Video Database for Golf Swing Sequencing. 2553-2562
Computer Vision Problems in Plant Phenotyping
- Natalia Sapoukhina, Salma Samiei, Pejman Rasti, David Rousseau:
Data Augmentation From RGB to Chlorophyll Fluorescence Imaging Application to Leaf Segmentation of Arabidopsis thaliana From Top View Images. 2563-2570 - Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Andres Milioto, Reinhard Töpfer, Heiner Kuhlmann, Ribana Roscher:
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks. 2571-2579 - Dmitry Kuznichov, Alon Zvirin, Yaron Honen, Ron Kimmel:
Data Augmentation for Leaf Segmentation and Counting Tasks in Rosette Plants. 2580-2589 - Mario Valerio Giuffrida, Andrei Dobrescu, Peter Doerner, Sotirios A. Tsaftaris:
Leaf Counting Without Annotations Using Adversarial Unsupervised Domain Adaptation. 2590-2599 - Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A. Tsaftaris:
Understanding Deep Neural Networks for Regression in Leaf Counting. 2600-2608 - Adar Vit, Guy Shani, Aharon Bar-Hillel:
Length Phenotyping With Interest Point Detection. 2609-2618 - Hao Chen, Mario Valerio Giuffrida, Peter Doerner, Sotirios A. Tsaftaris:
Adversarial Large-Scale Root Gap Inpainting. 2619-2628 - Nico Higgs, Blanche Leyeza, Jordan R. Ubbens, Josh Kocur, William van der Kamp, Theron Cory, Christina Eynck, Sally Vail, Mark G. Eramian, Ian Stavness:
ProTractor: A Lightweight Ground Imaging and Analysis System for Early-Season Field Phenotyping. 2629-2638 - Jonas Krause, Kyungim Baek, Lipyeow Lim:
A Guided Multi-Scale Categorization of Plant Species in Natural Images. 2639-2647 - Anjana K. Nellithimaru, George A. Kantor:
ROLS : Robust Object-Level SLAM for Grape Counting. 2648-2656 - Sara Mardanisamani, Farhad Maleki, Sara Hosseinzadeh Kassani, Sajith Rajapaksa, Hema Sudhakar Duddu, Menglu Wang, Steve Shirtliffe, Seungbum Ryu, Anique Josuttes, Ti Zhang, Sally Vail, Curtis Pozniak, Isobel Parkin, Ian Stavness, Mark G. Eramian:
Crop Lodging Prediction From UAV-Acquired Images of Wheat and Canola Using a DCNN Augmented With Handcrafted Texture Features. 2657-2664 - Yunfei Long, Amber Bassett, Karen Cichy, Addie M. Thompson, Daniel Morris:
Bean Split Ratio for Dry Bean Canning Quality and Variety Analysis. 2665-2668 - Ali Shafiekhani, Felix B. Fritschi, Guilherme N. DeSouza:
VisND: A Visualization Tool for Multidimensional Model of Canopy. 2669-2675 - Søren Skovsen, Mads Dyrmann, Anders Krogh Mortensen, Morten Stigaard Laursen, René Gislum, Jørgen Eriksen, Sadaf Farkhani, Henrik Karstoft, Rasmus N. Jørgensen:
The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. 2676-2684 - Yuhao Chen, Sriram Baireddy, Enyu Cai, Changye Yang, Edward J. Delp:
Leaf Segmentation by Functional Modeling. 2685-2694 - Ali Masjedi, Neal R. Carpenter, Melba M. Crawford, Mitchell R. Tuinstra:
Prediction of Sorghum Biomass Using Uav Time Series Data and Recurrent Neural Networks. 2695-2702 - Anders Krogh Mortensen, Søren Skovsen, Henrik Karstoft, René Gislum:
The Oil Radish Growth Dataset for Semantic Segmentation and Yield Estimation. 2703-2710
ISIC Skin Image Analysis Workshop
- Hakki Can Karaimer, Iman Khodadad, Farnoud Kazemzadeh, Michael S. Brown:
A Customized Camera Imaging Pipeline for Dermatological Imaging. 2711-2719 - Devansh Bisla, Anna Choromanska, Russell S. Berman, Jennifer A. Stein, David Polsky:
Towards Automated Melanoma Detection With Deep Learning: Data Purification and Augmentation. 2720-2728 - Sourav Mishra, Hideaki Imaizumi, Toshihiko Yamasaki:
Interpreting Fine-Grained Dermatological Classification by Deep Learning. 2729-2737 - Adon Phillips, Iris Teo, Jochen Lang:
Segmentation of Prognostic Tissue Structures in Cutaneous Melanoma Using Whole Slide Images. 2738-2747 - Joanna Jaworek-Korjakowska, Pawel Kleczek, Marek Gorgon:
Melanoma Thickness Prediction Based on Convolutional Neural Network With VGG-19 Model Transfer Learning. 2748-2756 - Catarina Barata, Jorge S. Marques, M. Emre Celebi:
Deep Attention Model for the Hierarchical Diagnosis of Skin Lesions. 2757-2765 - Alceu Bissoto, Michel Fornaciali, Eduardo Valle, Sandra Avila:
(De)Constructing Bias on Skin Lesion Datasets. 2766-2774 - Fábio Perez, Sandra Avila, Eduardo Valle:
Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification. 2775-2783
Deep Learning for Geometric Shape Understanding Workshop
- Ilke Demir, Camilla Hahn, Kathryn Leonard, Géraldine Morin, Dana Rahbani, Athina Panotopoulou, Amélie Fondevilla, Elena Balashova, Bastien Durix, Adam Kortylewski:
SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding. 1143-1151 - Sedat Ozer:
Parametric Shape Modeling and Skeleton Extraction With Radial Basis Functions Using Similarity Domains Network. 1138-1142 - Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy:
Multi-Level 3D CNN for Learning Multi-Scale Spatial Features. 1152-1156 - Liang-Yan Gui, David A. Sepiashvili, José M. F. Moura:
Invariance to Affine-Permutation Distortions. 1157-1161 - Liping Yang, Diane Oyen, Brendt Wohlberg:
A Novel Algorithm for Skeleton Extraction From Images Using Topological Graph Analysis. 1162-1166 - Chang Liu, Dezhao Luo, Yifei Zhang, Wei Ke, Fang Wan, Qixiang Ye:
Parametric Skeleton Generation via Gaussian Mixture Models. 1167-1171 - Nan Jiang, Yifei Zhang, Dezhao Luo, Chang Liu, Yu Zhou, Zhenjun Han:
Feature Hourglass Network for Skeleton Detection. 1172-1176 - Rowel Atienza:
Pyramid U-Network for Skeleton Extraction From Shape Points. 1177-1180 - Sabari Nathan, Priya Kansal:
SkeletonNet: Shape Pixel to Skeleton Pixel. 1181-1185 - Oleg Panichev, Alona Voloshyna:
U-Net Based Convolutional Neural Network for Skeleton Extraction. 1186-1189
Mutual benefits of cognitive and computer vision
- Oleksii Sidorov:
Changing the Image Memorability: From Basic Photo Editing to GANs. 790-799 - Shay Perera, Ayellet Tal, Lihi Zelnik-Manor:
Is Image Memorability Prediction Solved? 800-808 - Petros Koutras, Petros Maragos:
SUSiNet: See, Understand and Summarize It. 809-819 - Yan Luo, Ming Jiang, Qi Zhao:
Visual Attention in Multi-Label Image Classification. 820-827 - Gregory J. Zelinsky, Zhibo Yang, Lihan Huang, Yupei Chen, Seoyoung Ahn, Zijun Wei, Hossein Adeli, Dimitris Samaras, Minh Hoai:
Benchmarking Gaze Prediction for Categorical Visual Search. 828-836 - Pedro D. Marrero-Fernández, Fidel A. Guerrero-Peña, Tsang Ing Ren, Alexandre Cunha:
FERAtt: Facial Expression Recognition With Attention Net. 837-846
Analysis and Modeling of Faces and Gestures
- Reza Ghoddoosian, Marnim Galib, Vassilis Athitsos:
A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection. 178-187 - Yun Yang, Bing Yu, Xiaodong Li, Bailan Feng:
Stacked Multi-Target Network for Robust Facial Landmark Localisation. 188-197 - Alina Roitberg, Tim Pollert, Monica Haurilet, Manuel Martin, Rainer Stiefelhagen:
Analysis of Deep Fusion Strategies for Multi-Modal Gesture Recognition. 198-206 - Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman:
LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition From Image Sequences. 207-216 - Ognjen (Oggi) Rudovic, Hae Won Park, John Busche, Björn W. Schuller, Cynthia Breazeal, Rosalind W. Picard:
Personalized Estimation of Engagement From Videos Using Active Learning With Deep Reinforcement Learning. 217-226 - Zhanfu An, Weihong Deng, Yaoyao Zhong, Yaohai Huang, Xunqiang Tao:
APA: Adaptive Pose Alignment for Robust Face Recognition. 227-235 - Shruti Nagpal, Maneet Singh, Mayank Vatsa, Richa Singh, Afzel Noore:
Expression Classification in Children Using Mean Supervised Deep Boltzmann Machine. 236-245 - Xudong Liu, Tao Li, Hao Peng, Iris Chuoying Ouyang, Taehwan Kim, Ruizhe Wang:
Understanding Beauty via Deep Facial Features. 246-256 - Aniket Bera, Tanmay Randhavane, Dinesh Manocha:
Modelling Multi-Channel Emotions Using Facial Expression and Trajectory Cues for Improving Socially-Aware Robot Navigation. 257-266 - Jinzhan Su, Zhe Wang, Chunyuan Liao, Haibin Ling:
Efficient and Accurate Face Alignment by Global Regression and Cascaded Local Refinement. 267-276 - Yangtao Zheng, Di Huang, Weixin Li, Shupeng Wang, Yunhong Wang:
2D-3D Heterogeneous Face Recognition Based on Deep Coupled Spectral Regression. 277-284 - Yu Deng, Jiaolong Yang, Sicheng Xu, Dong Chen, Yunde Jia, Xin Tong:
Accurate 3D Face Reconstruction With Weakly-Supervised Learning: From Single Image to Image Set. 285-295
Workshop on Autonomous Driving
- Martin Simon, Karl Amende, Andrea Kraus, Jens Honer, Timo Sämann, Hauke Kaulbersch, Stefan Milz, Horst-Michael Gross:
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds. 1190-1199 - Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh:
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning. 1200-1210 - Matteo Biasetton, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh:
Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes. 1211-1220 - Oliver Zendel, Markus Murschitz, Marcel Zeilinger, Daniel Steininger, Sara Abbasi, Csaba Beleznai:
RailSem19: A Dataset for Semantic Rail Scene Understanding. 1221-1229 - Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez:
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. 1230-1237 - Di Wu, Zhaoyong Zhuang, Canqun Xiang, Wenbin Zou, Xia Li:
6D-VNet: End-To-End 6-DoF Vehicle Pose Estimation From Monocular RGB Images. 1238-1247 - Oguzhan Guclu, Ali Caglayan, Ahmet Burak Can:
RGB-D Indoor Mapping Using Deep Features. 1248-1257 - Robin Kreuzig, Matthias Ochs, Rudolf Mester:
DistanceNet: Estimating Traveled Distance From Monocular Images Using a Recurrent Convolutional Neural Network. 1258-1266 - Samira Pouyanfar, Muneeb Saleem, Nikhil George, Shu-Ching Chen:
ROADS: Randomization for Obstacle Avoidance and Driving in Simulation. 1267-1276 - Bruce A. Maxwell, Casey A. Smith, Maan Qraitem, Ross Messing, Spencer Whitt, Nicolas Thien, Richard M. Friedhoff:
Real-Time Physics-Based Removal of Shadows and Shading From Road Surfaces. 1277-1285 - Davide Mazzini, Raimondo Schettini:
Spatial Sampling Network for Fast Scene Understanding. 1286-1296 - Anshul Paigwar, Özgür Erkent, Christian Wolf, Christian Laugier:
Attentional PointNet for 3D-Object Detection in Point Clouds. 1297-1306 - Eli Brosh, Matan Friedmann, Ilan Kadar, Lev Yitzhak Lavy, Elad Levi, Shmuel Rippa, Yair Lempert, Bruno Fernandez-Ruiz, Roei Herzig, Trevor Darrell:
Accurate Visual Localization for Automotive Applications. 1307-1316 - Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola:
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning. 1317-1325 - Yilun Chen, Chiyu Dong, Praveen Palanisamy, Priyantha Mudalige, Katharina Muelling, John M. Dolan:
Attention-Based Hierarchical Deep Reinforcement Learning for Lane Change Behaviors in Autonomous Driving. 1326-1334 - Lex Fridman, Li Ding, Benedikt Jenik, Bryan Reimer:
Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions. 1335-1343
Blockchain Meets Computer Vision & Artificial Intelligence
- Marc Jourdan, Sebastien Blandin, Laura Wynter, Pralhad Deshpande:
A Probabilistic Model of the Bitcoin Blockchain. 2784-2792 - Tu Bui, Daniel Cooper, John P. Collomosse, Mark Bell, Alex Green, John Sheridan, Jez Higgins, Arindra Das, Jared Keller, Olivier Thereaux, Alan Brown:
ARCHANGEL: Tamper-Proofing Video Archives Using Temporal Content Hashes on the Blockchain. 2793-2801 - Boyang Li, Changhao Chenli, Xiaowei Xu, Taeho Jung, Yiyu Shi:
Exploiting Computation Power of Blockchain for Biomedical Image Segmentation. 2802-2811 - Vasco Lopes, Nuno Pereira, Luís A. Alexandre:
Robot Workspace Monitoring Using a Blockchain-Based 3D Vision Approach. 2812-2820 - Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
DeepRing: Protecting Deep Neural Network With Blockchain. 2821-2828 - Oscar Delgado-Mohatar, Julian Fiérrez, Ruben Tolosana, Rubén Vera-Rodríguez:
Biometric Template Storage With Blockchain: A First Look Into Cost and Performance Tradeoffs. 2829-2837 - David Amar, Lior Zilpa:
Incentive-Based Ledger Protocols for Solving Machine Learning Tasks and Optimization Problems via Competitions. 2838-2846 - Luis Angel D. Bathen, German H. Flores, Gabor Madl, Divyesh Jadav, Andreas Arvanitis, Krishna Santhanam, Connie Zeng, Alan Gordon:
SelfIs: Self-Sovereign Biometric IDs. 2847-2856 - Kanthi K. Sarpatwar, Venkata Sitaramagiridharganesh Ganapavarapu, Karthikeyan Shanmugam, Akond Rahman, Roman Vaculín:
Blockchain Enabled AI Marketplace: The Price You Pay for Trust. 2857-2866
Compact and Efficient Feature Representation and Learning in Computer Vision
- Dongdong Li, Yangliu Kuai, Gongjian Wen, Li Liu:
Robust Visual Tracking via Collaborative and Reinforced Convolutional Feature Learning. 592-600 - Ali Diba, Vivek Sharma, Rainer Stiefelhagen, Luc Van Gool:
Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks. 601-610 - Mengyu Dai, Anuj Srivastava:
Video-Based Action Recognition Using Dimension Reduction of Deep Covariance Trajectories. 611-620 - Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen:
Adaptive Labeling for Deep Learning to Hash. 621-628 - Jiahui Huang, Kshitij Dwivedi, Gemma Roig:
Deep Anchored Convolutional Neural Networks. 629-637 - Junjie Liu, Dongchao Wen, Hongxing Gao, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato:
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation. 638-646 - Yipeng Chen, Cairong Zhao, Tianli Sun:
Single Image Based Metric Learning via Overlapping Blocks Model for Person Re-Identification. 647-656 - Sayan Rakshit, Ushasi Chaudhuri, Biplab Banerjee, Subhasis Chaudhuri:
Class Consistency Driven Unsupervised Deep Adversarial Domain Adaptation. 657-666 - Mohammad Saeed Shafiee, Mohammad Javad Shafiee, Alexander Wong:
Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates. 667-675 - Subarna Tripathi, Sharath Nittur Sridhar, Sairam Sundaresan, Hanlin Tang:
Compact Scene Graphs for Layout Composition and Patch Retrieval. 676-683 - Alexander Wong, Zhong Qiu Lin, Brendan Chwyl:
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design. 684-693 - Yinglan Ma, Hongyu Xiong, Zhe Hu, Lizhuang Ma:
Efficient Super Resolution Using Binarized Neural Network. 694-703 - Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra, Piyush Rai:
Generative Model for Zero-Shot Sketch-Based Image Retrieval. 704-713 - Huikai Shao, Dexing Zhong, Xuefeng Du:
Efficient Deep Palmprint Recognition via Distilled Hashing Coding. 714-723 - Peng Wang:
Image Denoising Using Deep CGAN With Bi-Skip Connections. 724-729 - Shifeng Zhang, Jianmin Li, Bo Zhang:
Pairwise Teacher-Student Network for Semi-Supervised Hashing. 730-737 - Wei Wang, Jianhua Shi, Lingjun Zhao, Xingwei Yan:
A Site Model Based Change Detection Method for SAR Images. 738-742 - Nan Mu, Xin Xu, Xiaolong Zhang:
Salient Object Detection in Low Contrast Images via Global Convolution and Boundary Refinement. 743-751 - Youngwan Lee, Joong-Won Hwang, Sangrok Lee, Yuseok Bae, Jongyoul Park:
An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection. 752-760 - Yixuan He, Tianyi Hu, Delu Zeng:
Scan-Flood Fill(SCAFF): An Efficient Automatic Precise Region Filling Algorithm for Complicated Regions. 761-769
New Trends in Image Restoration and Enhancement
- Kai Lin, Thomas H. Li, Shan Liu, Ge Li:
Real Photographs Denoising With Noise Domain Adaptation and Attentive Generative Adversarial Network. 1717-1721 - Indra Deep Mastan, Shanmuganathan Raman:
Multi-Level Encoder-Decoder Architectures for Image Restoration. 1728-1737 - Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, Guoping Qiu:
Learning Deep Image Priors for Blind Image Denoising. 1738-1747 - Oleksii Sidorov:
Conditional GANs for Multi-Illuminant Color Constancy: Revolution or yet Another Approach? 1748-1758 - Jin Zeng, Jiahao Pang, Wenxiu Sun, Gene Cheung:
Deep Graph Laplacian Regularization for Robust Denoising of Real Images. 1759-1768 - Richard R. Yang:
Multi-Stage Optimization for Photorealistic Neural Style Transfer. 1769-1776 - Benoit Brummer, Christophe De Vleeschouwer:
Natural Image Noise Dataset. 1777-1784 - Ya-Liang Chang, Zhe Yu Liu, Winston H. Hsu:
VORNet: Spatio-Temporally Consistent Video Inpainting for Object Removal. 1785-1794 - Dong-Won Jang, Rae-Hong Park:
DenseNet With Deep Residual Channel-Attention Blocks for Single Image Super Resolution. 1795-1803 - Zhen Cheng, Zhiwei Xiong, Chang Chen, Dong Liu:
Light Field Super-Resolution: A Benchmark. 1804-1813 - Berk Dogan, Shuhang Gu, Radu Timofte:
Exemplar Guided Face Image Super-Resolution Without Facial Landmarks. 1814-1823 - Yixin Du, Xin Li:
Recursive Image Dehazing via Perceptually Optimized Generative Adversarial Network (POGAN). 1824-1832 - Lijie Wang, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa:
Aspect-Ratio-Preserving Multi-Patch Image Aesthetics Score Prediction. 1833-1842 - Michele Claus, Jan van Gemert:
ViDeNN: Deep Blind Video Denoising. 1843-1852 - Minchen Zhu, Anna Alperovich, Ole Johannsen, Antonin Sulc, Bastian Goldluecke:
An Epipolar Volume Autoencoder With Adversarial Loss for Deep Light Field Super-Resolution. 1853-1861 - Seung-Wook Kim, Sung-Jin Cho, Kwang-Hyun Uhm, Seo-Won Ji, Sang-Won Lee, Sung-Jea Ko:
Evaluating Parameterization Methods for Convolutional Neural Network (CNN)-Based Image Operators. 1862-1870 - Oliver van Zwanenberg, Sophie Triantaphillidou, Robin B. Jenkin, Alexandra Psarrou:
Edge Detection Techniques for Quantifying Spatial Imaging System Performance and Image Quality. 1871-1879 - Bin Xiao, Yunqiu Xu, Han Tang, Xiuli Bi, Weisheng Li:
Histogram Learning in Image Contrast Enhancement. 1880-1889 - Mayu Omiya, Yusuke Horiuchi, Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa:
Optimization-Based Data Generation for Photo Enhancement. 1890-1898 - Matthew Post, Paul W. Fieguth, Mohamed A. Naiel, Zohreh Azimifar, Mark Lamm:
FRESCO: Fast Radiometric Egocentric Screen Compensation. 1899-1906 - Prashanth Kumar G., Rajiv Ranjan Sahay:
Low Rank Poisson Denoising (LRPD): A Low Rank Approach Using Split Bregman Algorithm for Poisson Noise Removal From Images. 1907-1916 - Pablo Arias, Jean-Michel Morel:
Kalman Filtering of Patches for Frame-Recursive Video Denoising. 1917-1926 - Simone Bianco, Luigi Celona, Flavio Piccoli, Raimondo Schettini:
High-Resolution Single Image Dehazing Using Encoder-Decoder Architecture. 1927-1935 - Simone Bianco, Claudio Cusano, Flavio Piccoli, Raimondo Schettini:
Content-Preserving Tone Adjustment for Image Enhancement. 1936-1943 - Du Chen, Zewei He, Anshun Sun, Jiangxin Yang, Yanlong Cao, Yanpeng Cao, Siliang Tang, Michael Ying Yang:
Orientation-Aware Deep Neural Network for Real Image Super-Resolution. 1944-1953 - Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy:
EDVR: Video Restoration With Enhanced Deformable Convolutional Networks. 1954-1963 - Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong:
Suppressing Model Overfitting for Image Super-Resolution Networks. 1964-1973 - Seungjun Nah, Radu Timofte, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Hyeonjun Sim, Munchurl Kim, Dongwon Park, Jisoo Kim, Se Young Chun, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Rahul Kumar Gupta, Vishal M. Chudasama, Heena Patel, Kishor P. Upla, Hongfei Fan, Guo Li, Yumei Zhang, Xiang Li, Wenjie Zhang, Qingwen He, Kuldeep Purohit, A. N. Rajagopalan, Jeonghun Kim, Mohammad Tofighi, Tiantong Guo, Vishal Monga:
NTIRE 2019 Challenge on Video Deblurring: Methods and Results. 1974-1984 - Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang He, Yukang Ding, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwan-Young Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, Ahmet Murat Tekalp, Mustafa Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo:
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. 1985-1995 - Seungjun Nah, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Radu Timofte, Kyoung Mu Lee:
NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study. 1996-2005 - Shangqi Gao, Xiahai Zhuang:
Multi-Scale Deep Neural Networks for Real Image Super-Resolution. 2006-2013 - Akshay Dudhane, Harshjeet Singh Aulakh, Subrahmanyam Murala:
RI-GAN: An End-To-End Network for Single Image Haze Removal. 2014-2023 - Xuan Xu, Xin Li:
SCAN: Spatial Color Attention Networks for Real Single Image Super-Resolution. 2024-2032 - Chao Li, Dongliang He, Xiao Liu, Yukang Ding, Shilei Wen:
Adapting Image Super-Resolution State-Of-The-Arts and Learning Multi-Model Ensemble for Video Super-Resolution. 2033-2040 - Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu:
Hierarchical Back Projection Network for Image Super-Resolution. 2041-2050 - Shuxin Chen, Yizi Chen, Yanyun Qu, Jingying Huang, Ming Hong:
Multi-Scale Adaptive Dehazing Network. 2051-2059 - Ratheesh Kalarot, Fatih Porikli:
MultiBoot Vsr: Multi-Stage Multi-Reference Bootstrapping for Video Super-Resolution. 2060-2069 - Jiaming Liu, Chihao Wu, Yuzhi Wang, Qin Xu, Yuqian Zhou, Haibin Huang, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang:
Learning Raw Image Denoising With Bayer Pattern Unification and Bayer Preserving Augmentation. 2070-2077 - Peter Morales, Tzofi Klinghoffer, Seung Jae Lee:
Feature Forwarding for Efficient Single Image Dehazing. 2078-2085 - Dong-Wook Kim, Jae Ryun Chung, Seung-Won Jung:
GRDN: Grouped Residual Dense Network for Real Image Denoising and GAN-Based Real-World Noise Modeling. 2086-2094 - Songhyun Yu, Bumjun Park, Jechang Jeong:
Deep Iterative Down-Up CNN for Image Denoising. 2095-2103 - Bumjun Park, Songhyun Yu, Jechang Jeong:
Densely Connected Hierarchical Network for Image Denoising. 2104-2113 - Junhyung Kwak, Donghee Son:
Fractal Residual Network and Solutions for Real Super-Resolution. 2114-2121 - Tiantong Guo, Xuelu Li, Venkateswararao Cherukuri, Vishal Monga:
Dense Scene Information Estimation Network for Dehazing. 2122-2130 - Tiantong Guo, Venkateswararao Cherukuri, Vishal Monga:
Dense '123' Color Enhancement Dehazing Network. 2131-2139 - Hyeonjun Sim, Munchurl Kim:
A Deep Motion Deblurring Network Based on Per-Pixel Adaptive Kernels With Residual Down-Up and Up-Down Modules. 2140-2149 - Gökhan Özbulak:
Image Colorization by Capsule Networks. 2150-2158 - Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang:
An Empirical Investigation of Efficient Spatio-Temporal Modeling in Video Restoration. 2159-2168 - Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan:
Encoder-Decoder Residual Network for Real Super-Resolution. 2169-2178 - Nelson Chong, Lai-Kuan Wong, John See:
GANmera: Reproducing Aesthetically Pleasing Photographs Using Deep Adversarial Networks. 2179-2187 - Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao:
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. 2197-2210 - Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He:
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. 2211-2223 - Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. 2224-2232 - Shuhang Gu, Radu Timofte, Richard Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, S. Athi Narayanan, Jameer Babu Pinjari, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Anil K. Saini, Santanu Chaudhury, Prasen Kumar Sharma, Priyankar Jain, Arijit Sur, Gökhan Özbulak:
NTIRE 2019 Challenge on Image Colorization: Report. 2233-2240 - Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte, Luc Van Gool, Lei Zhang, Ming-Hsuan Yang, Tiantong Guo, Xuelu Li, Venkateswararao Cherukuri, Vishal Monga, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Dongwon Park, Se Young Chun, Ming Hong, Jinying Huang, Yizi Chen, Shuxin Chen, Bomin Wang, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Jing Liu, Sanchayan Santra, Ranjan Mondal, Bhabatosh Chanda, Peter Morales, Tzofi Klinghoffer, Le Manh Quan, Yong-Guk Kim, Xiao Liang, Runde Li, Jinshan Pan, Jinhui Tang, Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Raimondo Schettini, Simone Bianco, Flavio Piccoli, Claudio Cusano, Luigi Celona, Sunhee Hwang, Yu Seung Ma, Hyeran Byun, Subrahmanyam Murala, Akshay Dudhane, Harshjeet Singh Aulakh, Tianxiang Zheng, Tao Zhang, Weining Qin, Runnan Zhou, Shanhu Wang, Jean-Philippe Tarel, Chuansheng Wang, Jiawei Wu:
NTIRE 2019 Image Dehazing Challenge Report. 2241-2253
Biometrics
- Hugo Proença, João C. Neves:
Segmentation-Less and Non-Holistic Deep-Learning Frameworks for Iris Recognition. 2296-2305 - Ruben Tolosana, Javier Gismero-Trujillo, Rubén Vera-Rodríguez, Julian Fiérrez, Javier Ortega-Garcia:
MobileTouchDB: Mobile Touch Character Database in the Wild and Biometric Benchmark. 2306-2314 - Manolis Vasileiadis, Georgios Stavropoulos, Dimitrios Tzovaras:
Facial Soft Biometrics Detection on Low Power Devices. 2315-2325 - Bong-Nam Kang, Yonghyun Kim, Bongjin Jun, Daijin Kim:
Hierarchical Feature-Pair Relation Networks for Face Recognition. 2326-2335 - Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore:
Detecting Textured Contact Lens in Uncontrolled Environment Using DensePAD. 2336-2344 - Cassandra Carley, Ergys Ristani, Carlo Tomasi:
Person Re-Identification From Gait Using an Autocorrelation Network. 2345-2353 - Zhenguo Hu, Qijun Zhao, Feng Liu:
Revisiting Depth-Based Face Recognition From a Quality Perspective. 2354-2362 - Omid Abdollahi Aghdam, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Exploring Factors for Improving Low Resolution Face Recognition. 2363-2370 - Gee-Sern Jison Hsu, Chia-Hao Tang, Moi Hoon Yap:
Face Synthesis and Recognition Using Disentangled Representation-Learning Wasserstein GAN. 2371-2379 - Blaine Ayotte, Jiaju Huang, Mahesh K. Banavar, Daqing Hou, Stephanie Schuckers:
Fast Continuous User Authentication Using Distance Metric Fusion of Free-Text Keystroke Data. 2380-2388 - Deen Dayal Mohan, Nishant Sankaran, Sergey Tulyakov, Srirangaraj Setlur, Venu Govindaraju:
Significant Feature Based Representation for Template Protection. 2389-2396 - Kiran B. Raja, Ramachandra Raghavendra, Egidijus Auksorius, Christoph Busch:
Subsurface and Layer Intertwined Template Protection Using Inherent Properties of Full-Field Optical Coherence Tomography Fingerprint Imaging. 2397-2404 - Klemen Grm, Martin Pernus, Leo Cluzel, Walter J. Scheirer, Simon Dobrisek, Vitomir Struc:
Face Hallucination Revisited: An Exploratory Study on Dataset Bias. 2405-2413 - Dogucan Yaman, Fevziye Irem Eyiokur, Hazim Kemal Ekenel:
Multimodal Age and Gender Classification Using Ear and Profile Face Images. 2414-2421 - Shivangi Yadav, Cunjian Chen, Arun Ross:
Synthesizing Iris Images Using RaSGAN With Application in Presentation Attack Detection. 2422-2430
Safe Artificial Intelligence for Automated Driving
- René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. 1344-1352 - Alexander Frickenstein, Manoj Rohit Vemparala, Christian Unger, Fatih Ayar, Walter Stechele:
DSC: Dense-Sparse Convolution for Vectorized Inference of Convolutional Neural Networks. 1353-1360 - Matthias Rottmann, Marius Schubert:
Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images. 1361-1369 - Felix Assion, Peter Schlicht, Florens Greßner, Wiebke Günther, Fabian Hüger, Nico M. Schmidt, Umair Rasheed:
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks. 1370-1379 - Andreas Bär, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
On the Robustness of Redundant Teacher-Student Frameworks for Semantic Segmentation. 1380-1388 - Thomas Brunner, Frederik Diehl, Michael Truong-Le, Alois C. Knoll:
Leveraging Semantic Embeddings for Safety-Critical Applications. 1389-1394 - Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk:
The Ethical Dilemma When (Not) Setting up Cost-Based Decision Rules in Semantic Segmentation. 1395-1403 - Jan-Aike Bolte, Markus Kamp, Antonia Breuer, Silviu Homoceanu, Peter Schlicht, Fabian Hüger, Daniel Lipinski, Tim Fingscheidt:
Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain. 1404-1413
Target Re-identification and Multi-Target Multi-Camera Tracking
- Hao Luo, Youzhi Gu, Xingyu Liao, Shenqi Lai, Wei Jiang:
Bag of Tricks and a Strong Baseline for Deep Person Re-Identification. 1487-1495 - Liqiang Bao, Bingpeng Ma, Hong Chang, Xilin Chen:
Masked Graph Attention Network for Person Re-Identification. 1496-1505 - Peng Li, Jiabin Zhang, Zheng Zhu, Yanwei Li, Lu Jiang, Guan Huang:
State-Aware Re-Identification Feature for Multi-Target Multi-Camera Tracking. 1506-1516 - Dahjung Chung, Edward J. Delp:
Camera-Aware Image-To-Image Translation Using Similarity Preserving StarGAN for Person Re-Identification. 1517-1525 - Yao Zhai, Xun Guo, Yan Lu, Houqiang Li:
In Defense of the Classification Loss for Person Re-Identification. 1526-1535 - Haotian Tang, Yiru Zhao, Hongtao Lu:
Unsupervised Person Re-Identification With Iterative Self-Supervised Domain Adaptation. 1536-1543 - Niki Martinel, Gian Luca Foresti, Christian Micheloni:
Aggregating Deep Pyramidal Representations for Person Re-Identification. 1544-1554 - Honglong Cai, Zhiguan Wang, Jinxing Cheng:
Multi-Scale Body-Part Mask Guided Attention for Person Re-Identification. 1555-1564
Computer Vision for Microscopy Image Analysis
- Oleksandr Bailo, DongShik Ham, Young Min Shin:
Red Blood Cell Image Generation for Data Augmentation Using Conditional Generative Adversarial Networks. 1039-1048 - Tathagato Rai Dastidar:
Automated Focus Distance Estimation for Digital Microscopy Using Deep Convolutional Neural Networks. 1049-1056 - Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Daniel J. Hoeppner, Dimitris N. Metaxas:
Online Neural Cell Tracking Using Blob-Seed Segmentation and Optical Flow. 1057-1064 - Hiroki Tsuda, Kazuhiro Hotta:
Cell Image Segmentation by Integrating Pix2pixs for Each Class. 1065-1073 - Kranthi Kiran G. V., G. Meghana Reddy:
Automatic Classification of Whole Slide Pap Smear Images Using CNN With PCA Based Feature Interpretation. 1074-1079 - Krati Gupta, Daksh Thapar, Arnav Bhavsar, Anil Kumar Sao:
Deep Metric Learning for Identification of Mitotic Patterns of HEp-2 Cell Images. 1080-1086 - Yang Jiao, Mo Weng, Mei Yang:
Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery With Deep Feature Maps. 1087-1096 - Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do:
Enhanced Rotation-Equivariant U-Net for Nuclear Segmentation. 1097-1104 - Heng Wang, Donghao Zhang, Yang Song, Siqi Liu, Heng Huang, Mei Chen, Hanchuan Peng, Weidong Cai:
Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing. 1105-1113 - Michael Majurski, Petru Manescu, Sarala Padi, Nicholas Schaub, Nathan Hotaling, Carl Simon Jr, Peter Bajcsy:
Cell Image Segmentation Using Generative Adversarial Networks, Transfer Learning, and Augmentations. 1114-1122 - Vibha Gupta, Arnav Bhavsar:
Partially-Independent Framework for Breast Cancer Histopathological Image Classification. 1123-1130 - Moumen T. El-Melegy, Doaa Mohamed, Tarek ElMelegy, Mostafa Abdelrahman:
Identification of Tuberculosis Bacilli in ZN-Stained Sputum Smear Images: A Deep Learning Approach. 1131-1137
UAVision
- Christos Kyrkou, Theocharis Theocharides:
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles. 517-525 - Yash Akhauri:
HadaNets: Flexible Quantization Strategies for Neural Networks. 526-534 - Rui Fan, Jianhao Jiao, Jie Pan, Huaiyang Huang, Shaojie Shen, Ming Liu:
Real-Time Dense Stereo Embedded in a UAV for Road Inspection. 535-543 - Tobias Ringwald, Lars Sommer, Arne Schumann, Jürgen Beyerer, Rainer Stiefelhagen:
UAV-Net: A Fast Aerial Vehicle Detector for Mobile Platforms. 544-552 - Michael Fonder, Marc Van Droogenbroeck:
Mid-Air: A Multi-Modal Dataset for Extremely Low Altitude Drone Flights. 553-562 - Hasan Saribas, Bedirhan Uzun, Burak Benligiray, Onur Eker, Hakan Cevikalp:
A Hybrid Method for Tracking of Objects by UAVs. 563-572 - Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem:
Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-Based UAV Racing. 573-581 - F. Ozge Unel, Burak Oguz Özkalayci, Cevahir Çigla:
The Power of Tiling for Small Object Detection. 582-591
EventVision
- Iñigo Alonso, Ana C. Murillo:
EV-SegNet: Semantic Segmentation for Event-Based Cameras. 1624-1633 - Kenneth Chaney, Alex Zihao Zhu, Kostas Daniilidis:
Learning Event-Based Height From Plane and Parallax. 1634-1637 - Anh Nguyen, Thanh-Toan Do, Darwin G. Caldwell, Nikos G. Tsagarakis:
Real-Time 6DOF Pose Relocalization for Event Cameras With Stacked Spatial LSTM Networks. 1638-1645 - Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik:
Star Tracking Using an Event Camera. 1646-1655 - Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras. 1656-1665 - Wensheng Cheng, Hao Luo, Wen Yang, Lei Yu, Shoushun Chen, Wei Li:
DET: A High-Resolution DVS Dataset for Lane Extraction. 1666-1675 - Prasan A. Shedligeri, Kaushik Mitra:
Live Demonstration: Joint Estimation of Optical Flow and Intensity Image From Event Sensors. 1676-1677 - Min Liu, Wei-Tse Kao, Tobi Delbrück:
Live Demonstration: A Real-Time Event-Based Fast Corner Detection Demo Based on FPGA. 1678-1679 - Qian Liu, Ole Richter, Carsten Nielsen, Sadique Sheik, Giacomo Indiveri, Ning Qiao:
Live Demonstration: Face Recognition on an Ultra-Low Power Event-Driven Convolutional Neural Network ASIC. 1680-1681 - Shoushun Chen, Menghan Guo:
Live Demonstration: CeleX-V: A 1M Pixel Multi-Mode Event-Based Sensor. 1682-1683 - Cedric Scheerlinck, Henri Rebecq, Timo Stoffregen, Nick Barnes, Robert E. Mahony, Davide Scaramuzza:
CED: Color Event Camera Dataset. 1684-1693 - Alex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney, Kostas Daniilidis:
Live Demonstration: Unsupervised Event-Based Learning of Optical Flow, Depth and Egomotion. 1694 - Enrico Calabrese, Gemma Taverni, Christopher Awai Easthope, Sophie Skriabine, Federico Corradi, Luca Longinotti, Kynan Eng, Tobi Delbrück:
DHP19: Dynamic Vision Sensor 3D Human Pose Dataset. 1695-1704 - Laurie Bose, Jianing Chen, Stephen J. Carey, Piotr Dudek, Walterio W. Mayol-Cuevas:
Live Demonstration: Digit Recognition on Pixel Processor Arrays. 1705-1706 - Gongyu Yang, Qilin Ye, Wanjun He, Lifeng Zhou, Xinyu Chen, Lei Yu, Wen Yang, Shoushun Chen, Wei Li:
Live Demonstration: Real-Time Vi-SLAM With High-Resolution Event Camera. 1707-1708 - Alpha Renner, Matthew Evanusa, Yulia Sandamirskaya:
Event-Based Attention and Tracking on Neuromorphic Hardware. 1709-1716
CFS
- Rodrigo Rill-García, Hugo Jair Escalante, Luis Villaseñor Pineda, Verónica Reyes-Meza:
High-Level Features for Multimodal Deception Detection in Videos. 1565-1573 - Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li:
FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-Spoofing. 1574-1583 - Guoqing Wang, Chuanxin Lan, Hu Han, Shiguang Shan, Xilin Chen:
Multi-Modal Face Presentation Attack Detection via Spatial and Channel Attentions. 0 - Daniel Pérez-Cabo, David Jimenez-Cabello, Artur Costa-Pazo, Roberto Javier López-Sastre:
Deep Anomaly Detection for Generalized Face Anti-Spoofing. 1591-1600 - Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zichang Tan, Qi Yuan, Kai Wang, Chi Lin, Guodong Guo, Isabelle Guyon, Stan Z. Li:
Multi-Modal Face Anti-Spoofing Attack Detection Challenge at CVPR2019. 1601-1610 - Tao Shen, Yuyu Huang, Zhijun Tong:
FaceBagNet: Bag-Of-Local-Features Model for Multi-Modal Face Anti-Spoofing. 1611-1616 - Aleksandr Parkin, Oleg Grinchuk:
Recognizing Multi-Modal Face Spoofing With Face Recognition Networks. 1617-1623
Weakly Supervised Learning for Real-World Computer Vision Applications
- Mengmeng Xu, Yancheng Bai, Bernard Ghanem:
Missing Labels in Object Detection. - Boxiao Liu, Yan Gao, Nan Guo, Xiaochun Ye, Fang Wan, Haihang You, Dongrui Fan:
Utilizing the Instability in Weakly Supervised Object Detection. - Greg Olmschenk, Jin Chen, Hao Tang, Zhigang Zhu:
Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks. - Shipeng Yan, Songyang Zhang, Xuming He:
A Dual Attention Network with Semantic Embedding for Few-shot Learning. - Meng Zhang, Rujie Liu, Hajime Nada, Hidetsugu Uchida, Tomoaki Matsunami, Narishige Abe:
A pairwise learning strategy for video-based face recognition. - Mengmeng Xu, Yancheng Bai, Sally Sisi Qu, Bernard Ghanem:
Semantic Part RCNN for Real-World Pedestrian Detection. - Wenyuan Li, Zichen Wang, Jiayun Li, Jennifer Polson, William Speier, Corey W. Arnold:
Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach. - Fariba Zohrizadeh, Mohsen Kheirandishfard, Farhad Kamangar:
Class Subset Selection for Partial Domain Adaptation. - Wataru Shimoda, Keiji Yanai:
Self-supervised Difference Detection for Refinement CRF and Seed Interpolation.
Deep Vision Workshop
- Cristian Ivan:
Convolutional Neural Networks on Randomized Data. 1-8 - Hakan Cevikalp, Burak Benligiray, Ömer Nezih Gerek, Hasan Saribas:
Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification. 9-17 - Zaiwei Zhang, Xiangru Huang, Qixing Huang, Xiao Zhang, Yuan Li:
Joint Learning of Neural Networks via Iterative Reweighted Least Squares. 18-26 - Anuj Pahuja, Avishek Majumder, Anirban Chakraborty, R. Venkatesh Babu:
Enhancing Salient Object Segmentation Through Attention. 27-36 - Haoyu Ren, Mostafa El-Khamy, Jungwon Lee:
Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding. 37-45 - Federico Pernici, Matteo Bruni, Claudio Baecchi, Alberto Del Bimbo:
Maximally Compact and Separated Features with Regular Polytope Networks. 46-53 - Taisuke Hashimoto, Masaki Saito:
Normal Estimation for Accurate 3D Mesh Reconstruction with Point Cloud Model Incorporating Spatial Structure. 54-63 - Ishan Jindal, Matthew S. Nokleby, Daniel Pressel:
A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels. 64-72 - Shubhra Aich, Ian Stavness:
Global Sum Pooling: A Generalization Trick for Object Counting with Small Datasets of Large Images. 73-82 - Philip T. G. Jackson, Amir Atapour Abarghouei, Stephen Bonner, Toby P. Breckon, Boguslaw Obara:
Style Augmentation: Data Augmentation via Style Randomization. 83-92 - Miriam Bellver, Amaia Salvador, Jordi Torres, Xavier Giró-i-Nieto:
Budget-aware Semi-Supervised Semantic and Instance Segmentation. 93-102 - Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg:
SANE: Towards Improved Prediction Robustness via Stochastically Activated Network Ensembles. 103-111 - Saeid Motiian, Quinn Jones, Stanislav Pidhorskyi, Gianfranco Doretto:
Unsupervised Learning of Paired Style Statistics for Unpaired Image Translation. 112-121 - Parijat Dube, Bishwaranjan Bhattacharjee, Siyu Huo, Patrick Watson, Brian M. Belgodere:
Automatic Labeling of Data for Transfer Learning. 122-129
Explainable AI
- Zhongang Qi, Saeed Khorram, Fuxin Li:
Visualizing Deep Networks by Optimizing with Integrated Gradients. 1-4 - Sangwon Kim, Mira Jeong, Deokwoo Lee, ByoungChul Ko:
Deep Coupling of Random Ferns. 5-8 - Deeptha Girish, Vineeta Singh, Anca L. Ralescu:
Unsupervised clustering based understanding of CNN. 9-11 - Kandan Ramakrishnan, Mathew Monfort, Barry A. McNamara, Alex Lascelles, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva:
Identifying Interpretable Action Concepts in Deep Networks. 12-15 - Devinder Kumar, Ibrahim Ben Daya, Kanav Vats, Jeffery Feng, Graham W. Taylor, Alexander Wong:
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning. 16-19 - Chi Zhang, Biyao Shang, Ping Wei, Li Li, Yuehu Liu, Nanning Zheng:
Building Explainable AI Evaluation for Autonomous Perception. 20-23 - Rachana Sathish, Debdoot Sheet:
Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network. 24-27 - Weihao Li, Omid Hosseini Jafari, Carsten Rother:
Localizing Common Objects Using Common Component Activation Map. 28-31 - Sukhan Lee, Naeem Ul Islam:
Interpretation of Deep CNN Recognition with Filter Space Clustering in Feature Extraction and Reconstruction. 32-35 - Masanari Kimura, Masayuki Tanaka:
Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks. 36-39 - Chae Hwa Yoo, Na-Young Kim, Je-Won Kang:
Relevance Regularization of Convolutional Neural Network for Interpretable Classification. 40-43 - Nese Alyüz, Tevfik Metin Sezgin:
Interpretable Machine Learning for Generating Semantically Meaningful Formative Feedback. 44-47 - Li Chen, Carter Yagemann, Evan Downing:
To believe or not to believe: Validating explanation fidelity for dynamic malware analysis. 48-52 - Shuyu Lin, Bo Yang, Robert Birke, Ronald Clark:
Learning Semantically Meaningful Embeddings Using Linear Constraints. 53-56 - Xiangwei Shi, Seyran Khademi, Jan van Gemert:
Deep Visual City Recognition Visualization. 57-62 - Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, William Hsu:
Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis. 63-66 - Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff:
Are CNN Predictions based on Reasonable Evidence? 67-70 - Binbin Zhang, Shikun Huang, Wen Shen, Zhihua Wei:
Explaining the PointNet: What Has Been Learned Inside the PointNet? 71-74 - Yifei Fan, Anthony J. Yezzi:
Towards an Understanding of Neural Networks in Natural-Image Spaces. 75-78 - Alejandro de la Calle, Aitor Aller, Javier Tovar, Emilio J. Almazán:
Geometric interpretation of a CNN's last layer. 79-82 - Lei Lin, Beilei Xu, Wencheng Wu, Trevor W. Richardson, Edgar A. Bernal:
Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis. 83-86 - Arjun R. Akula, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu:
Natural Language Interaction with Explainable AI Models. 87-90 - Arjun R. Akula, Changsong Liu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu:
Explainable AI as Collaborative Task Solving. 91-94 - Bo Dong, Roddy Collins, Anthony Hoogs:
Explainability for Content-Based Image Retrieval. 95-98 - Teng-Yok Lee, Jeroen van Baar, Kent Wittenburg, Alan Sullivan:
Analysis of the contribution and temporal dependency of LSTM layers for reinforcement learning tasks. 99-102 - Xi Yang, Bojian Wu, Issei Sato, Takeo Igarashi:
Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping. 103-106 - Bhavan Vasu, Andreas E. Savakis:
Visualizing the Resilience of Deep Convolutional Network Interpretations. 107-110 - Tao Li:
Beauty Learning and Counterfactual Inference. 111-113 - Shichao Li, Kwang-Ting Cheng:
Visualizing the Decision-making Process in Deep Neural Decision Forest. 114-117 - Keisuke Kiritoshi, Ryosuke Tanno, Tomonori Izumitani:
L1-Norm Gradient Penalty for Noise Reduction of Attribution Maps. 118-121
Uncertainty and Robustness in Deep Visual Learning
- Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker:
Active Adversarial Domain Adaptation. 1-4 - Hao-Yu Yang, Junling Yang, Yue Pan, Kunlin Cao, Qi Song, Feng Gao, Youbing Yin:
Learn To Be Uncertain: Leveraging Uncertain Labels In Chest X-rays With Bayesian Neural Networks. 5-8 - Judith Bütepage, Petra Poklukar, Danica Kragic:
Modeling assumptions and evaluation schemes: On the assessment of deep latent variable models. 9-12 - Gavin Weiguang Ding, Kry Yik Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang:
On the Sensitivity of Adversarial Robustness to Input Data Distributions. 13-16 - Noble Kennamer, Alexander Ihler, David Kirkby:
Empirical Study of MC-Dropout in Various Astronomical Observing Conditions. 17-20 - Akari Asai, Daiki Ikami, Kiyoharu Aizawa:
Multi-Task Learning based on Separable Formulation of Depth Estimation and its Uncertainty. 21-24 - Jeremy Speth, Emily M. Hand:
Automated Label Noise Identification for Facial Attribute Recognition. 25-28 - Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Incremental Learning with Unlabeled Data in the Wild. 29-32 - Jan M. Köhler, Maximilian Autenrieth, William H. Beluch:
Uncertainty Based Detection and Relabeling of Noisy Image Labels. 33-37 - Jeremy Nixon, Michael W. Dusenberry, Linchuan Zhang, Ghassen Jerfel, Dustin Tran:
Measuring Calibration in Deep Learning. 38-41 - Dimity Miller, Niko Sünderhauf, Haoyang Zhang, David Hall, Feras Dayoub:
Benchmarking Sampling-based Probabilistic Object Detectors. 42-45 - Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata:
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. 46-49 - Nitesh B. Gundavarapu, Divyansh Srivastava, Rahul Mitra, Abhishek Sharma, Arjun Jain:
Structured Aleatoric Uncertainty in Human Pose Estimation. 50-53 - Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero-Shot Learning via Aligned Variational Autoencoders. 54-57 - Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf:
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem. 58-74 - Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach:
Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract. 75-78 - Robert Dupre, Jiri Fajtl, Vasileios Argyriou, Paolo Remagnino:
Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy. 79-82 - Valentin Peretroukhin, Brandon Wagstaff, Jonathan Kelly:
Deep Probabilistic Regression of Elements of SO(3) using Quaternion Averaging and Uncertainty Injection. 83-86 - Akshay Raj Dhamija, Manuel Günther, Terrance E. Boult:
Improving Deep Network Robustness to Unknown Inputs with Objectosphere. 87-90 - Ashish Shrivastava, Oncel Tuzel:
Learning Conditional Error Model for Simulated Time-Series Data. 91-94 - Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles. 95-98 - Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas:
Unsupervised Domain Adaptation via Calibrating Uncertainties. 99-102 - Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang:
Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference. 103-108 - Christopher Nielsen, Michal M. Okoniewski:
GAN Data Augmentation Through Active Learning Inspired Sample Acquisition. 109-112
Automated Analysis of Marine Video for Environmental Monitoring
- Andrew King, Suchendra M. Bhandarkar, Brian M. Hopkinson:
Deep Learning for Semantic Segmentation of Coral Reef Images Using Multi-View Information. 1-10 - Adarsh Jamadandi, Uma Mudenagudi:
Exemplar-based Underwater Image Enhancement Augmented by Wavelet Corrected Transforms. 11-17 - Malte Pedersen, Joakim Bruslund Haurum, Rikke Gade, Thomas B. Moeslund:
Detection of Marine Animals in a New Underwater Dataset with Varying Visibility. 18-26
Low-Power Image Recognition Challenge
- Corey D. C. Heath, Hemanth Venkateswara, Sethuraman Panchanathan:
Are You Paying Attention? Classifying Attention in Pivotal Response Treatment Videos. 1-9 - Alexander Goncharenko, Sergey Alyamkin, Andrey Denisov, Evgeny Terentev:
Winning Solution on LPIRC-ll Competition. 10-16
Face and Gesture Analysis for Health Informatics
- Md Atiqur Rahman Ahad, Anindya Das Antar, Omar Shahid:
Vision-based Action Understanding for Assistive Healthcare: A Short Review. 1-11 - Ankith Jain Rakesh Kumar, Rajkumar Theagarajan, Omar Peraza, Bir Bhanu:
CLASSIFICATION OF FACIAL MICRO-EXPRESSIONS USING MOTION MAGNIFIED EMOTION AVATAR IMAGES. 12-20 - Aniket Bera, Tanmay Randhavane, Dinesh Manocha:
Improving Socially-aware Multi-channel Human Emotion Prediction for Robot Navigation. 21-27 - Azin Asgarian, Shun Zhao, Ahmed Bilal Ashraf, M. Erin Browne, Kenneth M. Prkachin, Alex Mihailidis, Thomas Hadjistavropoulos, Babak Taati:
Limitations and Biases in Facial Landmark Detection D An Empirical Study on Older Adults with Dementia. 28-36 - Xiang Xiang:
Beyond Deep Feature Averaging: Sampling Videos Towards Practical Facial Pain Recognition. 37-42 - Mitsunori Ogihara, Zakia Hammal, Katherine B. Martin, Jeffrey F. Cohn, Justine Cassell, Gang Ren, Daniel S. Messinger:
Categorical Timeline Allocation and Alignment for Diagnostic Head Movement Tracking Feature Analysis. 43-51
The 2019 Scene Understanding and Modeling (SUMO) Workshop
- Marc Eder, Jan-Michael Frahm:
Convolutions on Spherical Images. 1-5 - Yu-Chuan Su, Kristen Grauman:
Kernel Transformer Networks for Compact Spherical Convolution. 11-15 - Guandao Yang, Yin Cui, Serge J. Belongie, Bharath Hariharan:
Learning Single-View 3D Reconstruction with Limited Pose Supervision. 21-25 - Seongdo Kim, Roberto Manduchi:
Multi-planar Monocular Reconstruction of Manhattan Indoor Scenes. 30-33 - Daeyun Shin, Zhile Ren, Erik B. Sudderth, Charless C. Fowlkes:
Multi-layer Depth and Epipolar Feature Transformers for 3D Scene Reconstruction. 39-43 - Chao Wang, Xiaohu Guo:
Efficient Plane-Based Optimization of Geometry and Texture for Indoor RGB-D Reconstruction. 49-53
Media Forensics
- Chengjiang Long, Arslan Basharat, Anthony Hoogs:
A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Forged Videos. 1-10 - Priyanka Singh, Hany Farid:
Robust Homomorphic Image Hashing. 11-18 - Abdul Muntakim Rafi, Uday Kamal, Rakibul Hoque, Abid Abrar, Sowmitra Das, Robert Laganière, Md. Kamrul Hasan:
Application of DenseNet in Camera Model Identification and Post-processing Detection. 19-28 - Eric Robertson, Haiying Guan, Mark Kozak, Yooyoung Lee, Amy N. Yates, Andrew Delgado, Daniel Zhou, Timothée Kheyrkhah, Jeff Smith, Jonathan G. Fiscus:
Manipulation Data Collection and Annotation Tool for Media Forensics. 29-37 - Shruti Agarwal, Hany Farid, Yuming Gu, Mingming He, Koki Nagano, Hao Li:
Protecting World Leaders Against Deep Fakes. 38-45 - Yuezun Li, Siwei Lyu:
Exposing DeepFake Videos By Detecting Face Warping Artifacts. 46-52 - Vinay Verma, Nitin Khanna:
CNN-based System for Speaker Independent Cell-Phone Identification from Recorded Audio. 53-61 - János Horváth, David Guera, Sri Kalyan Yarlagadda, Paolo Bestagini, Fengqing Maggie Zhu, Stefano Tubaro, Edward J. Delp:
Anomaly-Based Manipulation Detection in Satellite Images. 62-71 - Aurobrata Ghosh, Zheng Zhong, Terrance E. Boult, Maneesh Singh:
SpliceRadar: A Learned Method For Blind Image Forensics. 72-79 - Ekraam Sabir, Jiaxin Cheng, Ayush Jaiswal, Wael AbdAlmageed, Iacopo Masi, Prem Natarajan:
Recurrent Convolutional Strategies for Face Manipulation Detection in Videos. 80-87 - Chandra Sekhar Vorugunti, Prerana Mukherjee, Devanur S. Guru, Viswanath Pulabaigari:
Online Signature Verification Based on Writer Specific Feature Selection and Fuzzy Similarity Measure. 88-95 - Michael Albright, Scott McCloskey:
Source Generator Attribution via Inversion. 96-103 - Ehab A. AlBadawy, Siwei Lyu, Hany Farid:
Detecting AI-Synthesized Speech Using Bispectral Analysis. 104-109 - Tina Nikoukhah, Jérémy Anger, Thibaud Ehret, Miguel Colom, Jean-Michel Morel, Rafael Grompone von Gioi:
JPEG Grid Detection based on the Number of DCT Zeros and its Application to Automatic and Localized Forgery Detection. 110-118 - Ghazal Mazaheri, Niluthpol Chowdhury Mithun, Jawadul H. Bappy, Amit K. Roy-Chowdhury:
A Skip Connection Architecture for Localization of Image Manipulations. 119-129 - Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Extracting camera-based fingerprints for video forensics. 130-137 - Jamie Stanton, Keigo Hirakawa, Scott McCloskey:
Detecting Image Forgery Based On Color Phenomenology. 138-145 - Diangarti Bhalang Tariang, Prithviraj Senguptab, Aniket Roy, Rajat Subhra Chakraborty, Ruchira Naskar:
Classification of Computer Generated and Natural Images based on Efficient Deep Convolutional Recurrent Attention Model. 146-152
AI City
- Zhedong Zheng, Tao Ruan, Yunchao Wei, Yi Yang:
VehicleNet: Learning Robust Feature Representation for Vehicle Re-identification. 1-4 - Kuldeep Marotirao Biradar, Ayushi Gupta, Murari Mandal, Santosh Kumar Vipparthi:
Challenges in Time-Stamp Aware Anomaly Detection in Traffic Videos. 13-20 - Minye Wu, Guli Zhang, Ning Bi, Ling Xie, Yuanquan Hu, Zhiru Shi:
Multiview Vehicle Tracking by Graph Matching Model. 29-36 - Chih-Ting Liu, Man-Yu Lee, Chih-Wei Wu, Bo-Ying Chen, Tsai-Shien Chen, Yao-Ting Hsu, Shao-Yi Chien:
Supervised Joint Domain Learning for Vehicle Re-Identification. 45-52 - Aytaç Kanaci, Minxian Li, Shaogang Gong, Georgia Rajamanoharan:
Multi-Task Mutual Learning for Vehicle Re-Identification. 62-70 - Peixiang Huang, Runhui Huang, Jianjie Huang, Rushi Yangchen, Zongyao He, Xiying Li, Junzhou Chen:
Deep Feature Fusion with Multiple Granularity for Vehicle Re-identification. 80-88 - Ming-Ching Chang, Jiayi Wei, Zheng-An Zhu, Yan-Ming Chen, Chan-Shuo Hu, Ming-Xiu Jiang, Chen-Kuo Chiang:
AI City Challenge 2019 - City-Scale Video Analytics for Smart Transportation. 99-108 - Shuai Bai, Zhiqun He, Yu Lei, Wei Wu, Chengkai Zhu, Ming Sun, Junjie Yan:
Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix. 117-124 - Jianfei Zhao, Zitong Yi, Siyang Pan, Yanyun Zhao, Zhicheng Zhao, Fei Su, Bojin Zhuang:
Unsupervised Traffic Anomaly Detection Using Trajectories. 133-140 - Jakub Spanhel, Vojtech Bartl, Roman Juránek, Adam Herout:
Vehicle Re-Identifiation and Multi-Camera Tracking in Challenging City-Scale Environment. 150-158 - Yunzhong Hou, Heming Du, Liang Zheng:
A Locality Aware City-Scale Multi-Camera Vehicle Tracking System. 167-174 - Hao Chen, Benoit Lagadec, François Brémond:
Partition and Reunion: A Two-Branch Neural Network for Vehicle Re-identification. 184-192 - Zhiqun He, Yu Lei, Shuai Bai, Wei Wu:
Multi-Camera Vehicle Tracking with Powerful Visual Features and Spatial-Temporal Cue. 203-212 - Peilun Li, Guozhen Li, Zhangxi Yan, Youzeng Li, Meiqi Lu, Pengfei Xu, Yang Gu, Bing Bai, Yifei Zhang:
Spatio-temporal Consistency and Hierarchical Matching for Multi-Target Multi-Camera Vehicle Tracking. 222-230 - Pirazh Khorramshahi, Neehar Peri, Amit Kumar, Anshul Shah, Rama Chellappa:
Attention Driven Vehicle Re-identification and Unsupervised Anomaly Detection for Traffic Understanding. 239-246 - Adithya Shankar, Akhil Poojary, Varghese Kollerathu, Chandan Yeshwanth, Sheetal Reddy, Vinay Sudhakaran:
Comparative Study on various Losses for Vehicle Re-identification. 256-264 - Xiao Tan, Zhigang Wang, Minyue Jiang, Xipeng Yang, Jian Wang, Yuan Gao, Xiangbo Su, Xiaoqing Ye, Yuchen Yuan, Dongliang He, Shilei Wen, Errui Ding:
Multi-camera vehicle tracking and re-identification based on visual and spatial-temporal features. 275-284 - Abner Ayala-Acevedo, Akash Devgun, Sadri Zahir, Sid Askary:
Vehicle Re-Identification: Pushing the limits of re-identification. 291-296 - Linu Shine, Anitha Edison, C. V. Jiji:
A Comparative Study of Faster R-CNN Models for Anomaly Detection in 2019 AI City Challenge. 306-314 - Yucheng Chen, Longlong Jing, Elahe Vahdani, Ling Zhang, Mingyi He, Yingli Tian:
Multi-camera Vehicle Tracking and Re-identification on AI City Challenge 2019. 324-332 - Elena Luna, Paula Moral, Juan C. SanMiguel, Álvaro García-Martín, José M. Martínez:
VPULab participation at AI City Challenge 2019. 343-352 - Khac-Tuan Nguyen, Trung-Hieu Hoang, Minh-Triet Tran, Trung-Nghia Le, Ngoc-Minh Bui, Trong-Le Do, Viet-Khoa Vo-Ho, Quoc-An Luong, Mai-Khiem Tran, Thanh-An Nguyen, Thanh-Dat Truong, Vinh-Tiep Nguyen, Minh N. Do:
Vehicle Re-identification with Learned Representation and Spatial Verification and Abnormality Detection with Multi-Adaptive Vehicle Detectors for Traffic Video Analysis. 363-372 - Gaoang Wang, Xinyu Yuan, Aotian Zheng, Hung-Min Hsu, Jenq-Neng Hwang:
Anomaly Candidate Identification and Starting Time Estimation of Vehicles from Traffic Videos. 382-390 - Kai Lv, Heming Du, Yunzhong Hou, Weijian Deng, Hao Sheng, Jianbin Jiao, Liang Zheng:
Vehicle Re-Identification with Location and Time Stamps. 399-406 - Hung-Min Hsu, Tsung-Wei Huang, Gaoang Wang, Jiarui Cai, Zhichao Lei, Jenq-Neng Hwang:
Multi-Camera Tracking of Vehicles based on Deep Features Re-ID and Trajectory-Based Camera Link Models. 416-424 - Tsung-Wei Huang, Jiarui Cai, Hao Yang, Hung-Min Hsu, Jenq-Neng Hwang:
Multi-View Vehicle Re-Identification using Temporal Attention Model and Metadata Re-ranking. 434-442 - Milind Naphade, Zheng Tang, Ming-Ching Chang, David C. Anastasiu, Anuj Sharma, Rama Chellappa, Shuo Wang, Pranamesh Chakraborty, Tingting Huang, Jenq-Neng Hwang, Siwei Lyu:
The 2019 AI City Challenge. 452-460
Vision Meets Cognition
- Ashish Singh, Hang Su, SouYoung Jin, Huaizu Jiang, Chetan Manjesh, Geng Luo, Ziwei He, Li Hong, Erik G. Learned-Miller, Rosie Cowell:
Half&Half: New Tasks and Benchmarks for Studying Visual Common Sense. 1-4 - Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral:
Cooking With Blocks : A Recipe for Visual Reasoning on Image-Pairs. 5-8 - Seng-Beng Ho, Xiwen Yang, Therese Quieta, Gangeshwar Krishnamurthy, Fiona Liausvia:
On Human-like Performance Artificial Intelligence: A Demonstration Using an Atari Game. 9-12 - Xinlei Pan, Rudrasis Chakraborty, Stella X. Yu:
Visual Similarity from Optimizing Feature and Memory On A Hypersphere. 13-16 - Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas:
Learning Generalizable Final-State Dynamics of 3D Rigid Objects. 17-20 - Ayça Takmaz, Thomas Probst, Danda Pani Paudel, Luc Van Gool:
Learning Feature Representations for Look-Alike Images. 21-24 - Sascha Hornauer, Baladitya Yellapragada, Arian Ranjbar, Stella X. Yu:
Driving Scene Retrieval by Example from Large-Scale Data. 25-28
Vision for All Seasons Bad Weather and Nighttime
- Han-Kai Hsu, Wei-Chih Hung, Hung-Yu Tseng, Chun-Han Yao, Yi-Hsuan Tsai, Maneesh Singh, Ming-Hsuan Yang:
Progressive Domain Adaptation for Object Detection. 1-5 - Wayne Treible, Philip Saponaro, Yi Liu, Agnijit Das Gupta, Vinit Veerendraveer Singh, Scott Sorensen, Chandra Kambhamettu:
CATS 2: Color And Thermal Stereo Scenes with Semantic Labels. 6-10 - Mario Bijelic, Paula Kysela, Tobias Gruber, Werner Ritter, Klaus Dietmayer:
Recovering the Unseen: Benchmarking the Generalization of Enhancement Methods to Real World Data in Heavy Fog. 11-21 - Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik G. Learned-Miller:
Automatic adaptation of object detectors to new domains using self-training. 22-32 - Riccardo Volpi, Vittorio Murino:
Model Vulnerability to Distributional Shifts over Image Transformation Sets. 33-35 - Ruoteng Li, Loong-Fah Cheong, Robby T. Tan:
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning. 36-45 - Guisik Kim, Jinhee Park, Suhyeon Ha, Junseok Kwon:
Bidirectional Deep Residual learning for Haze Removal. 46-54 - Joakim Bruslund Haurum, Chris H. Bahnsen, Thomas B. Moeslund:
Is it Raining Outside? Detection of Rainfall using General-Purpose Surveillance Cameras. 55-64 - Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker:
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild. 65-74 - Jonah Philion:
FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network. 75-77 - Horia Porav, Valentina Musat, Paul Newman:
Reducing Steganography In Cycle-consistency GANs. 78-82 - Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde:
Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models. 83-87 - Samin Khan, Buu Phan, Rick Salay, Krzysztof Czarnecki:
ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks. 88-96
Image Matching Local Features and Beyond
- Guandao Yang, Tomasz Malisiewicz, Serge J. Belongie:
Learning Data-Adaptive Interest Points through Epipolar Adaptation. 1-7 - Erez Farhan:
Boosting Local Matches with Convolutional Co-Segmentation. 8-15 - Sungsoo Ha, Yuewei Lin, Xiaojing Huang, Hanfei Yan, Wei Xu:
An End-to-end Deep Convolutional Neural Network for a Multi-scale Image Matching and Localization Problem. 16-22
Augmented Human Humancentric Understanding and 2D/3D Synthesis
- Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee:
Multi-scale Aggregation R-CNN for 2D Multi-person Pose Estimation. - Jian Liu, Naveed Akhtar, Ajmal Mian:
Skepxels: Spatio-temporal Image Representation of Human Skeleton Joints for Action Recognition. - Rui Zhang, Zheng Zhu, Peng Li, Rui Wu, Chaoxu Guo, Guan Huang, Hailun Xia:
Exploiting Offset-guided Network for Pose Estimation and Tracking. - Naman Jain, Sahil Shah, Abhishek Kumar, Arjun Jain:
On the Robustness of Human Pose Estimation. - Xiaofei Huang, Alaina Martens, Emily Zimmerman, Sarah Ostadabbas:
Infant Contact-less Non-Nutritive Sucking Pattern Quantification via Facial Gesture Analysis. - Xu Chen, Jie Song, Otmar Hilliges:
Unpaired Pose Guided Human Image Generation. - Yachun Li, Yong Liu, Chi Zhang:
What Elements are Essential to Recognize Human Actions? - Qingfu Wan, Weichao Qiu, Alan L. Yuille:
Patch-based 3D Human Pose Refinement. - Arman Sabyrov, Medet Mukushev, Vadim Kimmelman:
Towards Real-time Sign Language Interpreting Robot: Evaluation of Non-manual Components on Recognition Accuracy.
Autonomous Driving
- Martin Simon, Karl Amende, Andrea Kraus, Jens Honer, Timo Sämann, Hauke Kaulbersch, Stefan Milz, Horst-Michael Gross:
Complexer YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds. 1-10 - Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh:
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning. 11-21 - Matteo Biasetton, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh:
Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes. 22-31 - Oliver Zendel, Markus Murschitz, Marcel Zeilinger, Daniel Steininger, Sara Abbasi, Csaba Beleznai:
RailSem19: A Dataset for Semantic Rail Scene Understanding. 32-40 - Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez:
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. 41-48 - Di Wu, Zhaoyong Zhuang, Canqun Xiang, Wenbin Zou, Xia Li:
6D-VNet: End-to-End 6-DoF Vehicle Pose Estimation From Monocular RGB Images. 49-58 - Oguzhan Guclu, Ali Caglayan, Ahmet Burak Can:
RGB-D Indoor Mapping Using Deep Features. 59-68 - Robin Kreuzig, Matthias Ochs, Rudolf Mester:
DistanceNet: Estimating Traveled Distance From Monocular Images Using a Recurrent Convolutional Neural Network. 69-77 - Samira Pouyanfar, Muneeb Saleem, Nikhil George, Shu-Ching Chen:
ROADS: Randomization for Obstacle Avoidance and Driving in Simulation. 78-87 - Bruce A. Maxwell, Casey A. Smith, Maan Qraitem, Spencer Whitt, Ross Messing, Nicholas Thien, Richard M. Friedhoff:
Real-Time Physics-Based Removal of Shadows and Shading From Road Surfaces. 88-96 - Davide Mazzini, Raimondo Schettini:
Spatial Sampling Network for Fast Scene Understanding. 97-107 - Anshul Paigwar, Özgür Erkent, Christian Wolf, Christian Laugier:
Attentional PointNet for 3D-Object Detection in Point Clouds. 108-117 - Eli Brosh, Matan Friedmann, Ilan Kadar, Lev Yitzhak Lavy, Elad Levi, Shmuel Rippa, Yair Lempert, Bruno Fernandez-Ruiz, Roei Herzig, Trevor Darrell:
Accurate Visual Localization for Automotive Applications. 118-127 - Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola:
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning. 128-136 - Yilun Chen, Chiyu Dong, Praveen Palanisamy, Priyantha Mudalige, Katharina Muelling, John M. Dolan:
Attention-Based Hierarchical Deep Reinforcement Learning for Lane Change Behaviors in Autonomous Driving. 137-145 - Lex Fridman, Li Ding, Benedikt Jenik, Bryan Reimer:
Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions. 146-154
Computer Vision for Global Challenges
- Derrick Bonafilia, James Gill, Saikat Basu, David Yang:
Building High Resolution Maps for Humanitarian Aid and Development with Weakly- and Semi-Supervised Learning. 1-9 - Ritwik Gupta, Bryce Goodman, Nirav Patel, Ricky Hosfelt, Sandra Sajeev, Eric T. Heim, Jigar Doshi, Keane Lucas, Howie Choset, Matthew E. Gaston:
Creating xBD: A Dataset for Assessing Building Damage from Satellite Imagery. 10-17 - Hieu Le, Bento Collares Gonçalves, Dimitris Samaras, Heather J. Lynch:
Weakly Labeling the Antarctic: The Penguin Colony Case. 18-25 - Hooman Shariati, Anuar Yeraliyev, Burhan Terai, Shahram Tafazoli, Mahdi Ramezani:
Towards Autonomous Mining via Intelligent Excavators. 26-32 - Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli, Klaus D. McDonald-Maier:
DisplaceNet: Recognising Displaced People from Images by Exploiting Dominance Level. 33-38 - Usman Nazir, Numan Khurshid, Muhammad Ahmed Bhimra, Murtaza Taj:
Tiny-Inception-ResNet-v2: Using Deep Learning for Eliminating Bonded Labors of Brick Kilns in South Asia. 39-43 - Nabeel Abdur Rehman, Umar Saif, Rumi Chunara:
Deep Landscape Features for Improving Vector-borne Disease Prediction. 44-51 - Terrance DeVries, Ishan Misra, Changhan Wang, Laurens van der Maaten:
Does Object Recognition Work for Everyone? 52-59 - Zhuangfang Yi, Naroa Zurutuza, Drew Bollinger, Manuel García-Herranz, Dohyung Kim:
Towards equitable access to information and opportunity for all: mapping schools with high-resolution Satellite Imagery and Machine Learning. 60-66 - Rose M. Rustowicz, Robin Cheong, Lijing Wang, Stefano Ermon, Marshall Burke, David B. Lobell:
Semantic Segmentation of Crop Type in Africa: A Novel Dataset and Analysis of Deep Learning Methods. 75-82 - Yoni Nachmany, Hamed Alemohammad:
Detecting Roads from Satellite Imagery in the Developing World. 83-89 - Simone Piaggesi, Laetitia Gauvin, Michele Tizzoni, Ciro Cattuto, Natalia Adler, Stefaan Verhulst, Andrew Young, Rhiannan Price, Leo Ferres, André Panisson:
Predicting City Poverty Using Satellite Imagery. 90-96 - Joshua J. Engelsma, Debayan Deb, Anil K. Jain, Anjoo Bhatnagar, Prem Sewak Sudhish:
Infant-Prints: Fingerprints for Reducing Infant Mortality. 67-74 - Ali Jahanian, Quang H. Le, Kamal Youcef-Toumi, Dzmitry Tsetserukou:
See the E-Waste! Training Visual Intelligence to See Dense Circuit Boards for Recycling. 0
DynaVis: The First International Workshop on Dynamic Scene Reconstruction
- Matthew Shere, Hansung Kim, Adrian Hilton:
3D Human Pose Estimation From Multi Person Stereo 360 Scenes. 1-8 - Ondrej Miksik, Vibhav Vineet:
Live Reconstruction of Large-Scale Dynamic Outdoor Worlds. 9-18
Sight and Sound
- Lele Chen, Haitian Zheng, Ross K. Maddox, Zhiyao Duan, Chenliang Xu:
Sound to Visual: Hierarchical Cross-Modal Talking Face Generation. 1-4 - Yapeng Tian, Jing Shi, Bochen Li, Zhiyao Duan, Chenliang Xu:
Audio-Visual Event Localization in the Wild. 5-8 - Yapeng Tian, Chenxiao Guan, Justin Goodman, Marc Moore, Chenliang Xu:
Audio-Visual Interpretable and Controllable Video Captioning. 9-12 - Inkyu An, Jung-Woo Choi, Dinesh Manocha, Sung-Eui Yoon:
Reflection and Diffraction-Aware Sound Source Localization. 13-16 - Yukitaka Tsuchiya, Takahiro Itazuri, Ryota Natsume, Shintaro Yamamoto, Takuya Kato, Shigeo Morishima:
Generating Video from Single Image and Sound. 17-20 - Amanda Cardoso Duarte, Francisco Roldan, Miquel Tubau, Janna Escur, Santiago Pascual, Amaia Salvador, Eva Mohedano, Kevin McGuinness, Jordi Torres, Xavier Giró-i-Nieto:
WAV2PIX: Speech-conditioned Face Generation using Generative Adversarial Networks. 21-24 - Naji Khosravan, Shervin Ardeshir, Rohit Puri:
On Attention Modules for Audio-Visual Synchronization. 25-28 - Angie W. Boggust, Kartik Audhkhasi, Dhiraj Joshi, David Harwath, Samuel Thomas, Rogério Schmidt Feris, Danny Gutfreund, Yang Zhang, Antonio Torralba, Michael Picheny, James R. Glass:
Grounding Spoken Words in Unlabeled Video. 29-32 - German Ignacio Parisi, Pablo V. A. Barros, Di Fu, Sven Magg, Haiyan Wu, Xun Liu, Stefan Wermter:
A Neurorobotic Experiment for Crossmodal Conflict Resolution. 33-36 - Konstantinos Vougioukas, Stavros Petridis, Maja Pantic:
End-to-End Speech-Driven Realistic Facial Animation with Temporal GANs. 37-40
3DWidDGET
- Chong Yu:
Semi-supervised Three-dimensional Reconstruction Framework with Generative Adversarial Networks. 1-9 - Rowel Atienza:
A Conditional Generative Adversarial Network for Rendering Point Clouds. 10-17 - Navaneet K. L., Priyanka Mandikal, Varun Jampani, R. Venkatesh Babu:
DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering. 18-24 - Leonardo Galteri, Claudio Ferrari, Giuseppe Lisanti, Stefano Berretti, Alberto Del Bimbo:
Coarse-to-Fine 3D Face Reconstruction. 25-31 - Amit Raj, Cusuh Ham, Connelly Barnes, Vladimir G. Kim, Jingwan Lu, James Hays:
Learning to Generate Textures on 3D Meshes. 32-38
Multi-Modal Learning from Videos
- Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach:
Grounded Video Description. 0 - Aniket Bera, Tanmay Randhavane, Dinesh Manocha:
The Emotionally Intelligent Robot: Improving Socially-aware Human Prediction in Crowded Environments. 0 - Andrew Rouditchenko, Hang Zhao, Chuang Gan, Josh H. McDermott, Antonio Torralba:
Self-Supervised Segmentation and Source Separation on Videos. 0 - Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach:
Adversarial Inference for Multi-Sentence Video Description. 0 - Ruohan Gao, Kristen Grauman:
2.5D Visual Sound.
Workshop and Challenge on Learned Image Compression
- Ming Li:
A Better Color Space Conversion Based on Learned Variances For Image Compression. 0 - Joaquim Campos, Simon Meierhans, Abdelaziz Djelouah, Christopher Schroers:
Content Adaptive Optimization for Neural Image Compression. 0 - Sepehr Eghbali, Ladan Tahvildari:
Discriminative Quantization for Fast Similarity Search. 0 - Hiroaki Akutsu, Takahiro Naruko:
End-to-End Learned ROI Image Compression. 0 - Yen-Chung Chen, Keng-Jui Chang, Yi-Hsuan Tsai, Wei-Chen Chiu:
Learning Patterns of Latent Residual for Improving Video Compression. 0 - Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro Katto:
Deep Residual Learning for Image Compression. 0 - Kai Cui, Eckehard G. Steinbach:
Decoder Side Color Image Quality Enhancement using a Wavelet Transform based 3-stage Convolutional Neural Network. 0 - Ming Li:
VimicroABCnet: An Image Coder Combining A Better Color Space Conversion Algorithm and A Post Enhancing Network. 0 - Jianhua Hu:
An Image Coder With CNN Optimizations. 0 - Chunlei Cai, Guo Lu, Qiang Hu, Li Chen, Zhiyong Gao:
Efficient Learning Based Sub-pixel Image Compression. 0 - Hongkui Wang, Junhui Liang, Yamei Chen, Hailang Yang, Shengwei Wang, Li Yu, Ning Wang, Zhengang Li:
RDO-based Secondary Prediction Scheme for Image Compression. 0 - Yuyang Xue:
Attention Based Image Compression Post-Processing Convlutional Neural Network. 0 - Çaglar Aytekin, Francesco Cricri, Antti Hallapuro, Jani Lainema, Emre Aksu, Miska M. Hannuksela:
A Compression Objective and a Cycle Loss for Neural Image Compression. 0 - Timmy Wang:
Joint learned and traditional image compression for transparent coding. 0 - Pinar Akyazi, Touradj Ebrahimi:
Learning-Based Image Compression using Convolutional Autoencoder and Wavelet Decomposition. 0 - Wei-Cheng Lee, David Alexandre, Chih-Peng Chang, Wen-Hsiao Peng, Cheng-Yen Yang, Hsueh-Ming Hang:
Learned Image Compression with Residual Coding. 0 - Haojie Liu, Tong Chen, Qiu Shen, Zhan Ma:
Practical Stacked Non-local Attention Modules for Image Compression. 0 - Jing Zhou:
Multi-scale and Context-adaptive Entropy Model for Image Compression. 0 - Huang Ching Chun, Phat Nguyen, Chen-Tung Lai:
Learned Prior Information for Image Compression. 0 - Seunghyun Cho:
Low Bit-rate Image Compression based on Post-processing with Grouped Residual Dense Network. 0 - Jooyoung Lee, Seunghyun Cho, Seyoon Jeong, Hyoungjin Kwon, Hyunsuk Ko, Hui Yong Kim, Jin Soo Choi:
Extended End-to-End optimized Image Compression Method based on a Context-Adaptive Entropy Model. 0 - Chih-Peng Chang, David Alexandre, Wen-Hsiao Peng, Hsueh-Ming Hang:
Description of Challenge Proposal by NCTU: An Autoencoder-based Image Compressor with Principle Component Analysis and Soft-Bit Rate Estimation. 0 - Ming Lu, Tong Chen, Haojie Liu, Zhan Ma:
Learned Image Restoration for VVC Intra Coding. 0 - Sihan Wen:
Variational Autoencoder based Image Compression with Pyramidal Features and Context Entropy Model. 0 - Yat Hong Lam, Alireza Zare, Çaglar Aytekin, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela:
Compressing Weight-updates for Image Artifacts Removal Neural Networks. 0 - Lei Zhou, Zhenhong Sun, Xiangji Wu, Junmin Wu:
End-to-end Optimized Image Compression with Attention Mechanism. 0 - Nicoló Savioli:
A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression. 0
UG2+ Prize Challenge
- Pritish M. Uplavikar, Zhenyu Wu, Zhangyang Wang:
All-in-One Underwater Image Enhancement Using Domain-Adversarial Learning. 1-8 - Jing Zhao, Jiyu Xie, Ruiqin Xiong, Siwei Ma, Tiejun Huang, Wen Gao:
Pyramid Convolutional Network for Single Image Deraining. 9-16 - Leida Li, Xi Chen, Yu Zhou, Jinjian Wu, Guangming Shi:
Depth Image Quality Assessment for View Synthesis Based on Weighted Edge Similarity. 17-25 - Hasan Asy'ari Arief, Mansur Arief, Manoj Bhat, Ulf Geir Indahl, Håvard Tveite, Ding Zhao:
Density-Adaptive Sampling for Heterogeneous Point Cloud Object Segmentation in Autonomous Vehicle Applications. 26-33 - Miao Yang, Yixiang Du, Yue Huang, Hantao Liu, Zhiqiang Wei, Jintong Hu, Ke Hu, Zhibin Sheng:
Preselection Based Subjective Preference Evaluation for the Quality of Underwater Images. 34-43
DOAI
- Kunping Yang, Zicheng Liu, Qikai Lu, Gui-Song Xia:
Multi-Scale Weighted Branch Network for Remote Sensing Image Classification. 1-10 - Franziska Lippoldt:
Window Detection in Facades for Aerial Texture Files of 3D CityGML Models. 11-19 - Chengzheng Li, Chunyan Xu, Zhen Cui, Dan Wang, Zequn Jie, Tong Zhang, Jian Yang:
Learning Object-Wise Semantic Representation for Detection in Remote Sensing Imagery. 20-27 - Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman H. Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, Xiang Bai:
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images. 28-37 - Ziyu Jiang, Kate Von Ness, Julie Loisel, Zhangyang Wang:
ArcticNet: A Deep Learning Solution to Classify the Arctic Area. 38-47 - Johannes Naude, Deon Joubert:
The Aerial Elephant Dataset: A New Public Benchmark for Aerial Object Detection. 48-55 - Noor Al-Shakarji, Filiz Bunyak, Hadi Aliakbarpour, Guna Seetharaman, Kannappan Palaniappan:
Multi-Cue Vehicle Detection for Semantic Video Compression in Georegistered Aerial Videos. 56-65
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-08 20:18 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
