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ORCID17th ECCV Workshops 2022: Tel Aviv, Israel - Part I
- Leonid Karlinsky, Tomer Michaeli
, Ko Nishino:
Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13801, Springer 2023, ISBN 978-3-031-25055-2
W01 - AI for Space
- Sofia McLeod, Gabriele Meoni, Dario Izzo, Anne Mergy, Daqi Liu, Yasir Latif, Ian D. Reid, Tat-Jun Chin:
Globally Optimal Event-Based Divergence Estimation for Ventral Landing. 3-20 - Vincenzo Fanizza, David Rijlaarsdam, Pablo Tomás Toledano González, José Luis Espinosa-Aranda:
Transfer Learning for On-Orbit Ship Segmentation. 21-36 - Juan Ignacio Bravo Pérez-Villar, Álvaro García-Martín, Jesús Bescós:
Spacecraft Pose Estimation Based on Unsupervised Domain Adaptation and on a 3D-Guided Loss Combination. 37-52 - Lorenzo Giusti, Josue Garcia, Steven Cozine, Darrick Suen, Christina Nguyen, Ryan Alimo:
MaRF: Representing Mars as Neural Radiance Fields. 53-65 - Yonhon Ng, Yasir Latif, Tat-Jun Chin, Robert E. Mahony:
Asynchronous Kalman Filter for Event-Based Star Tracking. 66-79 - Mason Schuckman, Roy Prouty, David Chapman, Don Engel:
Using Moffat Profiles to Register Astronomical Images. 80-95 - Grace Vincent, Alice Yepremyan, Jingdao Chen, Edwin Goh:
Mixed-Domain Training Improves Multi-mission Terrain Segmentation. 96-111 - Mohamed Adel Musallam, Arunkumar Rathinam, Vincent Gaudillière, Miguel Ortiz del Castillo, Djamila Aouada:
CubeSat-CDT: A Cross-Domain Dataset for 6-DoF Trajectory Estimation of a Symmetric Spacecraft. 112-126 - Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone:
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications. 127-142 - Kuan-Wei Huang, Geoff Chih-Fan Chen, Po-Wen Chang, Sheng-Chieh Lin, Chia-Jung Hsu, Vishal Thengane, Joshua Yao-Yu Lin:
Strong Gravitational Lensing Parameter Estimation with Vision Transformer. 143-153 - Antoine Legrand, Renaud Detry, Christophe De Vleeschouwer:
End-to-end Neural Estimation of Spacecraft Pose with Intermediate Detection of Keypoints. 154-169 - Isaac Ronald Ward, Charles Moore, Kai Pak, Jingdao Chen, Edwin Goh:
Improving Contrastive Learning on Visually Homogeneous Mars Rover Images. 170-185 - Sunhao Chu, Yuxiao Duan, Klaus Schilling, Shufan Wu:
Monocular 6-DoF Pose Estimation for Non-cooperative Spacecrafts Using Riemannian Regression Network. 186-198
W02 - Vision for Art
- Dan Ruta, Andrew Gilbert, Saeid Motiian, Baldo Faieta, Zhe Lin, John P. Collomosse:
HyperNST: Hyper-Networks for Neural Style Transfer. 201-217 - Artem Reshetnikov, Maria-Cristina V. Marinescu, Joaquim Moré López:
DEArt: Dataset of European Art. 218-233 - Vincent Tonkes, Matthia Sabatelli:
How Well Do Vision Transformers (VTs) Transfer to the Non-natural Image Domain? An Empirical Study Involving Art Classification. 234-250 - Mara Pistellato, Filippo Bergamasco:
On-the-Go Reflectance Transformation Imaging with Ordinary Smartphones. 251-267 - Pietro Bongini, Federico Becattini, Alberto Del Bimbo:
Is GPT-3 All You Need for Visual Question Answering in Cultural Heritage? 268-281 - Shu Zhao, Almila Akdag Salah, Albert Ali Salah:
Automatic Analysis of Human Body Representations in Western Art. 282-297 - Aline Sindel, Andreas Maier, Vincent Christlein:
ArtFacePoints: High-Resolution Facial Landmark Detection in Paintings and Prints. 298-313
W03 - Adversarial Robustness in the Real World
- Jinghao Wang, Chenling Cui, Xuejun Wen, Jie Shi:
TransPatch: A Transformer-based Generator for Accelerating Transferable Patch Generation in Adversarial Attacks Against Object Detection Models. 317-331 - Adrian Sandru, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Feature-Level Augmentation to Improve Robustness of Deep Neural Networks to Affine Transformations. 332-341 - Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
Benchmarking Robustness Beyond lp Norm Adversaries. 342-359 - Jiayi Zhu, Qing Guo, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu:
Masked Faces with Faced Masks. 360-377 - Laura Alexandra Daza, Jordi Pont-Tuset, Pablo Arbeláez:
Adversarially Robust Panoptic Segmentation (ARPaS) Benchmark. 378-395 - Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou:
BadDet: Backdoor Attacks on Object Detection. 396-412 - Krishna Kanth Nakka, Mathieu Salzmann:
Universal, Transferable Adversarial Perturbations for Visual Object Trackers. 413-429 - Sibendu Paul, Kunal Rao, Giuseppe Coviello, Murugan Sankaradas, Oliver Po, Y. Charlie Hu, Srimat Chakradhar:
Why Is the Video Analytics Accuracy Fluctuating, and What Can We Do About It? 430-448 - Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau:
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. 449-466 - Dongbin Na, Sangwoo Ji, Jong Kim:
Unrestricted Black-Box Adversarial Attack Using GAN with Limited Queries. 467-482 - Adrien Benamira, Thomas Peyrin, Bryan Hooi Kuen-Yew:
Truth-Table Net: A New Convolutional Architecture Encodable by Design into SAT Formulas. 483-500 - Steven Lawrence Fernandes, Senka Krivic, Poonam Sharma, Sumit Kumar Jha:
Attribution-Based Confidence Metric for Detection of Adversarial Attacks on Breast Histopathological Images. 501-516 - Kshitij Chandna:
Improving Adversarial Robustness by Penalizing Natural Accuracy. 517-533
W04 - Autonomous Vehicle Vision
- Lars Kreuzberg, Idil Esen Zulfikar, Sabarinath Mahadevan, Francis Engelmann, Bastian Leibe:
4D-StOP: Panoptic Segmentation of 4D LiDAR Using Spatio-Temporal Object Proposal Generation and Aggregation. 537-553 - Taichi Fukuda, Kotaro Hasegawa, Shinya Ishizaki, Shohei Nobuhara, Ko Nishino:
BlindSpotNet: Seeing Where We Cannot See. 554-569 - Adrian Holzbock, Nicolai Kern, Christian Waldschmidt, Klaus Dietmayer, Vasileios Belagiannis:
Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles. 570-584 - Guofa Li, Yingjie Zhang, Delin Ouyang, Xingda Qu:
An Improved Lightweight Network Based on YOLOv5s for Object Detection in Autonomous Driving. 585-601 - Abhishek Vivekanandan, Niels Maier, J. Marius Zöllner:
Plausibility Verification for 3D Object Detectors Using Energy-Based Optimization. 602-616 - Kai Liang, Jun Wang, Abhir Bhalerao:
Lane Change Classification and Prediction with Action Recognition Networks. 617-632 - Jasmin Breitenstein, Jonas Löhdefink, Tim Fingscheidt:
Joint Prediction of Amodal and Visible Semantic Segmentation for Automated Driving. 633-645 - Yiyue Zhao, Cailin Lei, Yu Shen, Yuchuan Du, Qijun Chen:
Human-Vehicle Cooperative Visual Perception for Autonomous Driving Under Complex Traffic Environments. 646-662 - Je-Seok Ham, Kangmin Bae, Jinyoung Moon:
MCIP: Multi-Stream Network for Pedestrian Crossing Intention Prediction. 663-679 - Ziqi Pang, Zhichao Li, Naiyan Wang:
SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking. 680-696 - Michael Meyer, Marc Unzueta, Georg Kuschk, Sven Tomforde:
Ego-Motion Compensation of Range-Beam-Doppler Radar Data for Object Detection. 697-708 - Zhaoxin Fan, Zhenbo Song, Wenping Zhang, Hongyan Liu, Jun He, Xiaoyong Du:
RPR-Net: A Point Cloud-Based Rotation-Aware Large Scale Place Recognition Network. 709-725 - Yuhang He, Lin Chen, Junkun Xie, Long Chen:
Learning 3D Semantics From Pose-Noisy 2D Images with Hierarchical Full Attention Network. 726-742 - Shuai Su, Zhongkai Zhao, Yixin Fei, Shuda Li, Qijun Chen, Rui Fan:
SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms. 743-759
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