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2020 – today
- 2024
[j12]Ran Chai, Fuxin Li, Yuqian Gao, Dehai Liu, Di Shang, Yanqing Yang, Jiayang Yu, Chenxiao Zhou, Yanan Li, Andong Song, Liyou Qiu
:
Unveiling preferred chemoattractants for rhizosphere PGPR colonization by molecular docking and molecular dynamics simulations. Comput. Electron. Agric. 225: 109266 (2024)- [j11]Hung Nguyen, Chanho Kim, Fuxin Li:
Space-time recurrent memory network. Comput. Vis. Image Underst. 241: 103943 (2024) - [c74]Saeed Khorram, Mingqi Jiang, Mohamad Shahbazi, Mohamad H. Danesh, Fuxin Li:
Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions. CVPR 2024: 7580-7590 - [c73]Mingqi Jiang, Saeed Khorram, Fuxin Li:
Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods. CVPR 2024: 9546-9555 - [c72]Chanho Kim, Fuxin Li:
Object Dynamics Modeling with Hierarchical Point Cloud-Based Representations. CVPR 2024: 20977-20986 - [c71]Yixuan Huang, Jialin Yuan, Chanho Kim, Pupul Pradhan, Bryan Chen, Fuxin Li, Tucker Hermans:
Out of Sight, Still in Mind: Reasoning and Planning about Unobserved Objects with Video Tracking Enabled Memory Models. ICRA 2024: 3108-3115 - [c70]Amin Ullah, Taiqing Yan, Fuxin Li:
CVAE-SM: A Conditional Variational Autoencoder with Style Modulation for Efficient Uncertainty Quantification. ICRA 2024: 10786-10792 - [c69]Skand Peri, Iain Lee, Chanho Kim, Fuxin Li, Tucker Hermans, Stefan Lee:
Point Cloud Models Improve Visual Robustness in Robotic Learners. ICRA 2024: 17529-17536 - [i47]Saeed Khorram, Mingqi Jiang, Mohamad Shahbazi, Mohamad H. Danesh, Fuxin Li:
Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions. CoRR abs/2402.17065 (2024) - [i46]Chanho Kim, Fuxin Li:
Object Dynamics Modeling with Hierarchical Point Cloud-based Representations. CoRR abs/2404.06044 (2024) - [i45]Skand Peri, Iain Lee, Chanho Kim, Fuxin Li, Tucker Hermans, Stefan Lee:
Point Cloud Models Improve Visual Robustness in Robotic Learners. CoRR abs/2404.18926 (2024) - [i44]Hung Nguyen, Chanho Kim, Rigved Naukarkar, Fuxin Li:
Long-Term 3D Point Tracking By Cost Volume Fusion. CoRR abs/2407.13337 (2024) - 2023
- [c68]Mingqi Jiang, Saeed Khorram, Fuxin Li:
Diverse Explanations for Object Detectors with Nesterov-Accelerated iGOS++. BMVC 2023: 188-189 - [c67]Ziwen Chen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alexander G. Schwing, Alex Colburn, Fuxin Li:
AutoFocusFormer: Image Segmentation off the Grid. CVPR 2023: 18227-18236 - [c66]Wenxuan Wu, Fuxin Li, Qi Shan:
PointConvFormer: Revenge of the Point-based Convolution. CVPR 2023: 21802-21813 - [c65]Timothy R. Player, Dongsik Chang, Fuxin Li, Geoffrey A. Hollinger:
Real-Time Generative Grasping with Spatio-temporal Sparse Convolution. ICRA 2023: 7981-7987 - [c64]Wesley Khademi, Fuxin Li:
Diverse Shape Completion via Style Modulated Generative Adversarial Networks. NeurIPS 2023 - [c63]Xingyi Li, Wenxuan Wu, Xiaoli Z. Fern, Fuxin Li:
Improving the Robustness of Point Convolution on k-Nearest Neighbor Neighborhoods with a Viewpoint-Invariant Coordinate Transform. WACV 2023: 1287-1297 - [i43]Jialin Yuan, Jay Patravali, Hung Nguyen, Chanho Kim, Fuxin Li:
Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation. CoRR abs/2301.12352 (2023) - [i42]Ziwen Chen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alexander G. Schwing, Alex Colburn, Fuxin Li:
AutoFocusFormer: Image Segmentation off the Grid. CoRR abs/2304.12406 (2023) - [i41]Yixuan Huang, Jialin Yuan, Chanho Kim, Pupul Pradhan, Bryan Chen, Fuxin Li, Tucker Hermans:
Out of Sight, Still in Mind: Reasoning and Planning about Unobserved Objects with Video Tracking Enabled Memory Models. CoRR abs/2309.15278 (2023) - [i40]Wesley Khademi, Fuxin Li:
Diverse Shape Completion via Style Modulated Generative Adversarial Networks. CoRR abs/2311.11184 (2023) - 2022
- [c62]Saeed Khorram, Fuxin Li:
Cycle-Consistent Counterfactuals by Latent Transformations. CVPR 2022: 10193-10202 - [c61]Ye Yu, Jialing Yuan, Gaurav Mittal, Fuxin Li, Mei Chen:
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation. ECCV (29) 2022: 612-629 - [i39]Saeed Khorram, Fuxin Li:
Cycle-Consistent Counterfactuals by Latent Transformations. CoRR abs/2203.15064 (2022) - [i38]Ye Yu, Jialin Yuan, Gaurav Mittal, Fuxin Li, Mei Chen:
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation. CoRR abs/2208.01159 (2022) - [i37]Wenxuan Wu, Qi Shan, Fuxin Li:
PointConvFormer: Revenge of the Point-based Convolution. CoRR abs/2208.02879 (2022) - [i36]Mingqi Jiang, Saeed Khorram, Fuxin Li:
Examining the Difference Among Transformers and CNNs with Explanation Methods. CoRR abs/2212.06872 (2022) - 2021
- [j10]Zhongang Qi, Saeed Khorram, Fuxin Li:
Embedding deep networks into visual explanations. Artif. Intell. 292: 103435 (2021) - [j9]Matthew L. Olson, Roli Khanna, Lawrence Neal, Fuxin Li, Weng-Keen Wong:
Counterfactual state explanations for reinforcement learning agents via generative deep learning. Artif. Intell. 295: 103455 (2021) - [j8]Robert DeBortoli, Fuxin Li, Ashish Kapoor, Geoffrey A. Hollinger:
Adversarial Training on Point Clouds for Sim-to-Real 3D Object Detection. IEEE Robotics Autom. Lett. 6(4): 6662-6669 (2021) - [j7]Xianfang Zeng, Wenxuan Wu, Guangzhong Tian, Fuxin Li, Yong Liu:
Deep Superpixel Convolutional Network for Image Recognition. IEEE Signal Process. Lett. 28: 922-926 (2021) - [c60]Saeed Khorram, Tyler Lawson, Fuxin Li:
iGOS++: integrated gradient optimized saliency by bilateral perturbations. CHIL 2021: 174-182 - [c59]Chanho Kim, Fuxin Li, Mazen Alotaibi, James M. Rehg:
Discriminative Appearance Modeling With Multi-Track Pooling for Real-Time Multi-Object Tracking. CVPR 2021: 9553-9562 - [c58]Jay Patravali, Gaurav Mittal, Ye Yu, Fuxin Li, Mei Chen:
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation. ICCV 2021: 8464-8474 - [c57]Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Aware Segmentation Using Discrete Morse Theory. ICLR 2021 - [c56]Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu:
Generative Particle Variational Inference via Estimation of Functional Gradients. ICML 2021: 8869-8879 - [c55]Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern:
One Explanation is Not Enough: Structured Attention Graphs for Image Classification. NeurIPS 2021: 11352-11363 - [i35]Xingyi Li, Wenxuan Wu, Xiaoli Z. Fern, Fuxin Li:
The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions. CoRR abs/2101.07832 (2021) - [i34]Chanho Kim, Fuxin Li, Mazen Alotaibi, James M. Rehg:
Discriminative Appearance Modeling with Multi-track Pooling for Real-time Multi-object Tracking. CoRR abs/2101.12159 (2021) - [i33]Matthew L. Olson, Roli Khanna, Lawrence Neal, Fuxin Li, Weng-Keen Wong:
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning. CoRR abs/2101.12446 (2021) - [i32]Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu:
Generative Particle Variational Inference via Estimation of Functional Gradients. CoRR abs/2103.01291 (2021) - [i31]Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Aware Segmentation Using Discrete Morse Theory. CoRR abs/2103.09992 (2021) - [i30]Erich Merrill, Stefan Lee, Fuxin Li, Thomas G. Dietterich, Alan Fern:
Deep Convolution for Irregularly Sampled Temporal Point Clouds. CoRR abs/2105.00137 (2021) - [i29]Saeed Khorram, Xiao Fu, Mohamad H. Danesh, Zhongang Qi, Fuxin Li:
Stochastic Block-ADMM for Training Deep Networks. CoRR abs/2105.00339 (2021) - [i28]Fuxin Li, Zhongang Qi, Saeed Khorram, Vivswan Shitole, Prasad Tadepalli, Minsuk Kahng, Alan Fern:
From Heatmaps to Structural Explanations of Image Classifiers. CoRR abs/2109.06365 (2021) - [i27]Hung Nguyen, Fuxin Li:
Space Time Recurrent Memory Network. CoRR abs/2109.06474 (2021) - [i26]Jay Patravali, Gaurav Mittal, Ye Yu, Fuxin Li, Mei Chen:
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation. CoRR abs/2109.15317 (2021) - [i25]Yu-Ying Liu, Alexander Moreno, Maxwell A. Xu, Shuang Li, Jena C. McDaniel, Nancy C. Brady, Agata Rozga, Fuxin Li, Le Song, James M. Rehg:
Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling. CoRR abs/2110.13998 (2021) - 2020
- [j6]Kunfeng Wang, Fei-Yue Wang, Visvanathan Ramesh, Ashish Shrivastava, David Vázquez, Fuxin Li:
Generating virtual images for promoting visual artificial intelligence. Neurocomputing 394: 112-113 (2020) - [c54]Xingyi Li, Zhongang Qi, Xiaoli Z. Fern, Fuxin Li:
ScaleNet - Improve CNNs through Recursively Rescaling Objects. AAAI 2020: 11426-11433 - [c53]Zhongang Qi, Saeed Khorram, Fuxin Li:
Visualizing Deep Networks by Optimizing with Integrated Gradients. AAAI 2020: 11890-11898 - [c52]Ziwen Chen, Wenxuan Wu, Zhongang Qi, Fuxin Li:
Visualizing point cloud classifiers by curvature smoothing. BMVC 2020 - [c51]Hung Nguyen, Jay Patravali, Fuxin Li, Alan Fern:
Learning Intuitive Physics by Explaining Surprise. CVPR Workshops 2020: 1539-1542 - [c50]Wenxuan Wu, Zhiyuan Wang, Zhuwen Li, Wei Liu, Fuxin Li:
PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation. ECCV (5) 2020: 88-107 - [c49]Jun Li, Fuxin Li, Sinisa Todorovic:
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform. ICLR 2020 - [c48]Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu:
Implicit Generative Modeling for Efficient Exploration. ICML 2020: 7985-7995 - [c47]Jialin Yuan, Chao Chen, Fuxin Li:
Deep Variational Instance Segmentation. NeurIPS 2020 - [i24]Jun Li, Fuxin Li, Sinisa Todorovic:
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform. CoRR abs/2002.01113 (2020) - [i23]Jialin Yuan, Chao Chen, Fuxin Li:
Deep Variational Instance Segmentation. CoRR abs/2007.11576 (2020) - [i22]Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern:
Structured Attention Graphs for Understanding Deep Image Classifications. CoRR abs/2011.06733 (2020) - [i21]Saeed Khorram, Tyler Lawson, Fuxin Li:
iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations. CoRR abs/2012.15783 (2020)
2010 – 2019
- 2019
- [c46]Zhongang Qi, Saeed Khorram, Fuxin Li:
Visualizing Deep Networks by Optimizing with Integrated Gradients. CVPR Workshops 2019: 1-4 - [c45]Wenxuan Wu, Zhongang Qi, Fuxin Li:
PointConv: Deep Convolutional Networks on 3D Point Clouds. CVPR 2019: 9621-9630 - [c44]Xinyao Wang, Liefeng Bo, Fuxin Li:
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression. ICCV 2019: 6970-6980 - [c43]Neale Ratzlaff, Fuxin Li:
HyperGAN: A Generative Model for Diverse, Performant Neural Networks. ICML 2019: 5361-5369 - [c42]Robert DeBortoli, Fuxin Li, Geoffrey A. Hollinger:
ElevateNet: A Convolutional Neural Network for Estimating the Missing Dimension in 2D Underwater Sonar Images. IROS 2019: 8040-8047 - [c41]Mandana Hamidi-Haines, Zhongang Qi, Alan Fern, Fuxin Li, Prasad Tadepalli:
Interactive Naming for Explaining Deep Neural Networks: A Formative Study. IUI Workshops 2019 - [c40]Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Preserving Deep Image Segmentation. NeurIPS 2019: 5658-5669 - [i20]Neale Ratzlaff, Fuxin Li:
HyperGAN: A Generative Model for Diverse, Performant Neural Networks. CoRR abs/1901.11058 (2019) - [i19]Xinyao Wang, Liefeng Bo, Fuxin Li:
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression. CoRR abs/1904.07399 (2019) - [i18]Zhongang Qi, Saeed Khorram, Fuxin Li:
Visualizing Deep Networks by Optimizing with Integrated Gradients. CoRR abs/1905.00954 (2019) - [i17]Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Preserving Deep Image Segmentation. CoRR abs/1906.05404 (2019) - [i16]Matthew L. Olson, Lawrence Neal, Fuxin Li, Weng-Keen Wong:
Counterfactual States for Atari Agents via Generative Deep Learning. CoRR abs/1909.12969 (2019) - [i15]Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu:
Implicit Generative Modeling for Efficient Exploration. CoRR abs/1911.08017 (2019) - [i14]Ziwen Chen, Wenxuan Wu, Zhongang Qi, Fuxin Li:
Visualizing Point Cloud Classifiers by Curvature Smoothing. CoRR abs/1911.10415 (2019) - [i13]Wenxuan Wu, Zhiyuan Wang, Zhuwen Li, Wei Liu, Fuxin Li:
PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds. CoRR abs/1911.12408 (2019) - 2018
- [j5]Jaegul Choo, Hannah Kim, Edward Clarkson, Zhicheng Liu, Changhyun Lee, Fuxin Li, Hanseung Lee, Ramakrishnan Kannan, Charles D. Stolper, John T. Stasko, Haesun Park:
VisIRR: A Visual Analytics System for Information Retrieval and Recommendation for Large-Scale Document Data. ACM Trans. Knowl. Discov. Data 12(1): 8:1-8:20 (2018) - [c39]Peng Lei, Fuxin Li, Sinisa Todorovic:
Boundary Flow: A Siamese Network That Predicts Boundary Motion Without Training on Motion. CVPR 2018: 3282-3290 - [c38]Chanho Kim, Fuxin Li, James M. Rehg:
Multi-object Tracking with Neural Gating Using Bilinear LSTM. ECCV (8) 2018: 208-224 - [c37]Lawrence Neal, Matthew L. Olson, Xiaoli Z. Fern, Weng-Keen Wong, Fuxin Li:
Open Set Learning with Counterfactual Images. ECCV (6) 2018: 620-635 - [c36]Robert DeBortoli, Austin Nicolai, Fuxin Li, Geoffrey A. Hollinger:
Real-Time Underwater 3D Reconstruction Using Global Context and Active Labeling. ICRA 2018: 1-8 - [i12]Neale Ratzlaff, Fuxin Li:
Unifying Bilateral Filtering and Adversarial Training for Robust Neural Networks. CoRR abs/1804.01635 (2018) - [i11]Rahul Sawhney, Fuxin Li, Henrik I. Christensen, Charles L. Isbell Jr.:
Purely Geometric Scene Association and Retrieval - A Case for Macro Scale 3D Geometry. CoRR abs/1808.01343 (2018) - [i10]Wenxuan Wu, Zhongang Qi, Fuxin Li:
PointConv: Deep Convolutional Networks on 3D Point Clouds. CoRR abs/1811.07246 (2018) - [i9]Mandana Hamidi-Haines, Zhongang Qi, Alan Fern, Fuxin Li, Prasad Tadepalli:
Interactive Naming for Explaining Deep Neural Networks: A Formative Study. CoRR abs/1812.07150 (2018) - 2017
- [c35]Xin Li, Fuxin Li:
Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics. ICCV 2017: 5775-5783 - [c34]Juan Liu, Zhengyang Wu, Fuxin Li:
Ranking video segments with LSTM and determinantal point processes. ICIP 2017: 2369-2373 - [c33]Xingyi Li, Fuxin Li, Xiaoli Z. Fern, Raviv Raich:
Filter shaping for Convolutional Neural Networks. ICLR (Poster) 2017 - [p2]Yu-Ying Liu, Alexander Moreno, Shuang Li, Fuxin Li, Le Song, James M. Rehg:
Learning Continuous-Time Hidden Markov Models for Event Data. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 361-387 - [i8]Peng Lei, Fuxin Li, Sinisa Todorovic:
Joint Spatio-Temporal Boundary Detection and Boundary Flow Prediction with a Fully Convolutional Siamese Network. CoRR abs/1702.08646 (2017) - [i7]Zhongang Qi, Fuxin Li:
Embedding Deep Networks into Visual Explanations. CoRR abs/1709.05360 (2017) - 2016
- [c32]Zhaoyang Lv, Chris Beall, Pablo F. Alcantarilla, Fuxin Li, Zsolt Kira, Frank Dellaert:
A Continuous Optimization Approach for Efficient and Accurate Scene Flow. ECCV (8) 2016: 757-773 - [i6]Zhaoyang Lv, Chris Beall, Pablo F. Alcantarilla, Fuxin Li, Zsolt Kira, Frank Dellaert:
A Continuous Optimization Approach for Efficient and Accurate Scene Flow. CoRR abs/1607.07983 (2016) - [i5]Xin Li, Fuxin Li:
Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics. CoRR abs/1612.07767 (2016) - 2015
- [j4]Shenghua Liu, Xueqi Cheng, Fuxin Li, Fangtao Li:
TASC: Topic-Adaptive Sentiment Classification on Dynamic Tweets. IEEE Trans. Knowl. Data Eng. 27(6): 1696-1709 (2015) - [c31]Zhengyang Wu, Fuxin Li, Rahul Sukthankar, James M. Rehg:
Robust video segment proposals with painless occlusion handling. CVPR 2015: 4194-4203 - [c30]Ahmad Humayun, Fuxin Li, James M. Rehg:
The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals. ICCV 2015: 1600-1608 - [c29]Chanho Kim, Fuxin Li, Arridhana Ciptadi, James M. Rehg:
Multiple Hypothesis Tracking Revisited. ICCV 2015: 4696-4704 - [c28]Yu-Ying Liu, Shuang Li, Fuxin Li, Le Song, James M. Rehg:
Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression. NIPS 2015: 3600-3608 - [c27]Xiaochen Sun, Ning-Ning Feng, Fuxin Li, Zhian Shao:
Parallel optical engine using vertical coaxial alignment. OFC 2015: 1-3 - 2014
- [c26]Rahul Sawhney, Fuxin Li, Henrik I. Christensen:
GASP: Geometric Association with Surface Patches. 3DV 2014: 107-114 - [c25]Ahmad Humayun, Fuxin Li, James M. Rehg:
RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions. CVPR 2014: 336-343 - [c24]Thomas Brox, Fabio Galasso, Fuxin Li, James Matthew Rehg, Bernt Schiele:
First International Workshop on Video Segmentation - Panel Discussion. ECCV Workshops (4) 2014: 383-388 - [c23]Abhijit Kundu, Yin Li, Frank Dellaert, Fuxin Li, James M. Rehg:
Joint Semantic Segmentation and 3D Reconstruction from Monocular Video. ECCV (6) 2014: 703-718 - [i4]Rahul Sawhney, Fuxin Li, Henrik I. Christensen:
GASP : Geometric Association with Surface Patches. CoRR abs/1411.4098 (2014) - 2013
- [c22]Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa:
Beyond Sentiment: The Manifold of Human Emotions. AISTATS 2013: 360-369 - [c21]Ben Miller, Ayush Shrestha, Jason Derby, Jennifer Olive, Karthikeyan Umapathy, Fuxin Li, Yanjun Zhao:
Digging into human rights violations: Data modelling and collective memory. IEEE BigData 2013: 37-45 - [c20]Shenghua Liu, Fuxin Li, Fangtao Li, Xueqi Cheng, Huawei Shen:
Adaptive co-training SVM for sentiment classification on tweets. CIKM 2013: 2079-2088 - [c19]Fuxin Li, João Carreira, Guy Lebanon, Cristian Sminchisescu:
Composite Statistical Inference for Semantic Segmentation. CVPR 2013: 3302-3309 - [c18]Ben Miller, Fuxin Li, Ayush Shrestha, Karthikeyan Umapathy:
Digging into Human Rights Violations: phrase mining and trigram visualization. DH 2013: 309-313 - [c17]Fuxin Li, Taeyoung Kim, Ahmad Humayun, David Tsai, James M. Rehg:
Video Segmentation by Tracking Many Figure-Ground Segments. ICCV 2013: 2192-2199 - [c16]Tucker Hermans, Fuxin Li, James M. Rehg, Aaron F. Bobick:
Learning stable pushing locations. ICDL-EPIROB 2013: 1-7 - [c15]Lora Weiss, Erica Briscoe, Heather Hayes, Olga Kemenova, Sim Harbert, Fuxin Li, Guy Lebanon, Chris Stewart, Darby Miller Steiger, Dan Foy:
A Comparative Study of Social Media and Traditional Polling in the Egyptian Uprising of 2011. SBP 2013: 303-310 - [c14]Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha:
Learning multiple-question decision trees for cold-start recommendation. WSDM 2013: 445-454 - [c13]Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa:
The Manifold of Human Emotions. ICLR (Workshop Poster) 2013 - 2012
- [j3]João Carreira, Fuxin Li, Cristian Sminchisescu:
Object Recognition by Sequential Figure-Ground Ranking. Int. J. Comput. Vis. 98(3): 243-262 (2012) - [c12]Fuxin Li, Guy Lebanon, Cristian Sminchisescu:
Chebyshev approximations to the histogram χ2 kernel. CVPR 2012: 2424-2431 - [c11]Eduard Gabriel Bazavan, Fuxin Li, Cristian Sminchisescu:
Fourier Kernel Learning. ECCV (2) 2012: 459-473 - [p1]Jaegul Choo, Fuxin Li, Keehyoung Joo, Haesun Park:
A Visual Analytics Approach for Protein Disorder Prediction. Expanding the Frontiers of Visual Analytics and Visualization 2012: 163-174 - [i3]Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa:
Beyond Sentiment: The Manifold of Human Emotions. CoRR abs/1202.1568 (2012) - [i2]Eduard Gabriel Bazavan, Fuxin Li, Cristian Sminchisescu:
Learning Random Kernel Approximations for Object Recognition. CoRR abs/1203.1483 (2012) - [i1]Fuxin Li, Guy Lebanon, Cristian Sminchisescu:
Chebyshev Approximations to the Histogram χ2 Kernel. CoRR abs/1206.4074 (2012) - 2011
- [c10]Catalin Ionescu, Fuxin Li, Cristian Sminchisescu:
Latent structured models for human pose estimation. ICCV 2011: 2220-2227 - 2010
- [c9]Fuxin Li, João Carreira, Cristian Sminchisescu:
Object recognition as ranking holistic figure-ground hypotheses. CVPR 2010: 1712-1719 - [c8]Fuxin Li, Catalin Ionescu, Cristian Sminchisescu:
Random Fourier Approximations for Skewed Multiplicative Histogram Kernels. DAGM-Symposium 2010: 262-271 - [c7]Fuxin Li, Cristian Sminchisescu:
Convex Multiple-Instance Learning by Estimating Likelihood Ratio. NIPS 2010: 1360-1368 - [c6]Fuxin Li, Cristian Sminchisescu:
The Feature Selection Path in Kernel Methods. AISTATS 2010: 445-452
2000 – 2009
- 2009
- [j2]Fen Xia, Yanwu Yang, Liang Zhou, Fuxin Li, Min Cai, Daniel Dajun Zeng:
A closed-form reduction of multi-class cost-sensitive learning to weighted multi-class learning. Pattern Recognit. 42(7): 1572-1581 (2009) - [c5]Fuxin Li, Yun-Shan Fu, Yu-Hong Dai, Cristian Sminchisescu, Jue Wang:
Kernel Learning by Unconstrained Optimization. AISTATS 2009: 328-335 - 2008
- [j1]Fen Xia, Wensheng Zhang, Fuxin Li, Yanwu Yang:
Ranking with decision tree. Knowl. Inf. Syst. 17(3): 381-395 (2008) - [c4]Liang Zhou, Fuxin Li, Yanwu Yang:
Path Algorithms for One-Class SVM. ISNN (1) 2008: 645-654 - [c3]Peng Jin, Fuxin Li, Danqing Zhu, Yunfang Wu, Shiwen Yu:
Exploiting external knowledge sources to improve kernel-based Word Sense Disambiguation. NLPKE 2008: 1-8 - 2007
- [c2]Fuxin Li, Jian Yang, Jue Wang:
A transductive framework of distance metric learning by spectral dimensionality reduction. ICML 2007: 513-520 - [c1]Peng Jin, Danqing Zhu, Fuxin Li, Yunfang Wu:
PKU: Combining Supervised Classifiers with Features Selection. SemEval@ACL 2007: 261-263
Coauthor Index
James M. Rehg
aka: James Matthew Rehg
aka: James Matthew Rehg
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last updated on 2024-10-07 02:21 CEST by the dblp team
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