Rehg, James M.

112 publications

CVPR 2025 Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders Fiona Ryan, Ajay Bati, Sangmin Lee, Daniel Bolya, Judy Hoffman, James M. Rehg
CVPR 2025 Improving Personalized Search with Regularized Low-Rank Parameter Updates Fiona Ryan, Josef Sivic, Fabian Caba Heilbron, Judy Hoffman, James M. Rehg, Bryan Russell
CVPR 2025 SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images Zixuan Huang, Mark Boss, Aaryaman Vasishta, James M. Rehg, Varun Jampani
CVPR 2025 ShotAdapter: Text-to-Multi-Shot Video Generation with Diffusion Models Ozgur Kara, Krishna Kumar Singh, Feng Liu, Duygu Ceylan, James M. Rehg, Tobias Hinz
CVPR 2025 SocialGesture: Delving into Multi-Person Gesture Understanding Xu Cao, Pranav Virupaksha, Wenqi Jia, Bolin Lai, Fiona Ryan, Sangmin Lee, James M. Rehg
CVPR 2025 Symmetry Strikes Back: From Single-Image Symmetry Detection to 3D Generation Xiang Li, Zixuan Huang, Anh Thai, James M. Rehg
CVPR 2025 Unleashing In-Context Learning of Autoregressive Models for Few-Shot Image Manipulation Bolin Lai, Felix Juefei-Xu, Miao Liu, Xiaoliang Dai, Nikhil Mehta, Chenguang Zhu, Zeyi Huang, James M. Rehg, Sangmin Lee, Ning Zhang, Tong Xiao
ECCV 2024 3x2: 3D Object Part Segmentation by 2D Semantic Correspondences Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, James M Rehg, Matt Feiszli
CVPR 2024 Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zach Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, Maria Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina Gonzalez, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbelaez, Gedas Bertasius, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C.V. Jawahar, Richard Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shou, Michael Wray
ECCV 2024 LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning Bolin Lai, Xiaoliang Dai, Lawrence Chen, Guan Pang, James M Rehg, Miao Liu
CVPR 2024 LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs Yunsheng Ma, Can Cui, Xu Cao, Wenqian Ye, Peiran Liu, Juanwu Lu, Amr Abdelraouf, Rohit Gupta, Kyungtae Han, Aniket Bera, James M. Rehg, Ziran Wang
ECCVW 2024 Leveraging Object Priors for Point Tracking Bikram Boote, Anh Thai, Wenqi Jia, Ozgur Kara, Stefan Stojanov, James M. Rehg, Sangmin Lee
ECCV 2024 Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation Bolin Lai, Fiona Ryan, Wenqi Jia, Miao Liu, James M Rehg
CVPR 2024 MAPLM: A Real-World Large-Scale Vision-Language Benchmark for mAP and Traffic Scene Understanding Xu Cao, Tong Zhou, Yunsheng Ma, Wenqian Ye, Can Cui, Kun Tang, Zhipeng Cao, Kaizhao Liang, Ziran Wang, James M. Rehg, Chao Zheng
CVPR 2024 Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations Sangmin Lee, Bolin Lai, Fiona Ryan, Bikram Boote, James M. Rehg
CVPR 2024 PointInfinity: Resolution-Invariant Point Diffusion Models Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu
CVPR 2024 RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models Ozgur Kara, Bariscan Kurtkaya, Hidir Yesiltepe, James M. Rehg, Pinar Yanardag
CVPR 2024 The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective Wenqi Jia, Miao Liu, Hao Jiang, Ishwarya Ananthabhotla, James M. Rehg, Vamsi Krishna Ithapu, Ruohan Gao
CVPR 2024 ZeroShape: Regression-Based Zero-Shot Shape Reconstruction Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg
CVPR 2023 Egocentric Auditory Attention Localization in Conversations Fiona Ryan, Hao Jiang, Abhinav Shukla, James M. Rehg, Vamsi Krishna Ithapu
CHIL 2023 Explaining a Machine Learning Decision to Physicians via Counterfactuals Supriya Nagesh, Nina Mishra, Yonatan Naamad, James M Rehg, Mehul A Shah, Alexei Wagner
NeurIPS 2023 Low-Shot Object Learning with Mutual Exclusivity Bias Anh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang, Bikram Boote, James M. Rehg
CVPR 2023 ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency Zixuan Huang, Varun Jampani, Anh Thai, Yuanzhen Li, Stefan Stojanov, James M. Rehg
CVPR 2022 Ego4D: Around the World in 3,000 Hours of Egocentric Video Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolář, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
ECCV 2022 Egocentric Activity Recognition and Localization on a 3D mAP Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li
ECCV 2022 Generative Adversarial Network for Future Hand Segmentation from Egocentric Video Wenqi Jia, Miao Liu, James M. Rehg
NeurIPS 2022 Kernel Multimodal Continuous Attention Alexander Moreno, Zhenke Wu, Supriya Nagesh, Walter Dempsey, James M. Rehg
NeurIPS 2022 Learning Dense Object Descriptors from Multiple Views for Low-Shot Category Generalization Stefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg
ECCV 2022 Planes vs. Chairs: Category-Guided 3D Shape Learning Without Any 3D Cues Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg
NeurIPS 2022 PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation Maxwell Xu, Alexander Moreno, Supriya Nagesh, Varol Aydemir, David Wetter, Santosh Kumar, James M. Rehg
CVPR 2021 Discriminative Appearance Modeling with Multi-Track Pooling for Real-Time Multi-Object Tracking Chanho Kim, Li Fuxin, Mazen Alotaibi, James M. Rehg
NeurIPS 2021 No RL, No Simulation: Learning to Navigate Without Navigating Meera Hahn, Devendra Singh Chaplot, Shubham Tulsiani, Mustafa Mukadam, James M. Rehg, Abhinav Gupta
CVPR 2021 Orthogonal Over-Parameterized Training Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller
CVPR 2021 Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias Stefan Stojanov, Anh Thai, James M. Rehg
NeurIPS 2020 A Robust Functional EM Algorithm for Incomplete Panel Count Data Alexander Moreno, Zhenke Wu, Jamie Roslyn Yap, Cho Lam, David Wetter, Inbal Nahum-Shani, Walter Dempsey, James M. Rehg
ECCV 2020 Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video Miao Liu, Siyu Tang, Yin Li, James M. Rehg
MLHC 2019 A Spatiotemporal Approach to Predicting Glaucoma Progression Using a CT-HMM Supriya Nagesh, Alexander Moreno, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Shuman, James M. Rehg
CoRL 2019 Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control Grady R. Williams, Brian Goldfain, Keuntaek Lee, Jason Gibson, James M. Rehg, Evangelos A. Theodorou
NeurIPS 2019 Neural Similarity Learning Weiyang Liu, Zhen Liu, James M. Rehg, Le Song
ECCV 2018 Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency Eunji Chong, Nataniel Ruiz, Yongxin Wang, Yun Zhang, Agata Rozga, James M. Rehg
CVPRW 2018 Fine-Grained Head Pose Estimation Without Keypoints Nataniel Ruiz, Eunji Chong, James M. Rehg
ECCV 2018 In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video Yin Li, Miao Liu, James M. Rehg
ECCV 2018 Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation Zhaoyang Lv, Kihwan Kim, Alejandro Troccoli, Deqing Sun, James M. Rehg, Jan Kautz
ECCV 2018 Multi-Object Tracking with Neural Gating Using Bilinear LSTM Chanho Kim, Fuxin Li, James M. Rehg
CoRL 2017 Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg
WACV 2017 First-Person Action Decomposition and Zero-Shot Learning Yun C. Zhang, Yin Li, James M. Rehg
ICML 2017 Iterative Machine Teaching Weiyang Liu, Bo Dai, Ahmad Humayun, Charlene Tay, Chen Yu, Linda B. Smith, James M. Rehg, Le Song
ICML 2017 iSurvive: An Interpretable, Event-Time Prediction Model for mHealth Walter H. Dempsey, Alexander Moreno, Christy K. Scott, Michael L. Dennis, David H. Gustafson, Susan A. Murphy, James M. Rehg
CVPR 2016 Unsupervised Learning of Edges Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollar
CVPR 2015 Delving into Egocentric Actions Yin Li, Zhefan Ye, James M. Rehg
NeurIPS 2015 Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression Yu-Ying Liu, Shuang Li, Fuxin Li, Le Song, James M. Rehg
CVPR 2015 Gaze-Enabled Egocentric Video Summarization via Constrained Submodular Maximization Jia Xu, Lopamudra Mukherjee, Yin Li, Jamieson Warner, James M. Rehg, Vikas Singh
ICCV 2015 Minimizing Human Effort in Interactive Tracking by Incremental Learning of Model Parameters Arridhana Ciptadi, James M. Rehg
ICCV 2015 Multiple Hypothesis Tracking Revisited Chanho Kim, Fuxin Li, Arridhana Ciptadi, James M. Rehg
CVPR 2015 Robust Video Segment Proposals with Painless Occlusion Handling Zhengyang Wu, Fuxin Li, Rahul Sukthankar, James M. Rehg
ICCV 2015 The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals Ahmad Humayun, Fuxin Li, James M. Rehg
ECCV 2014 Joint Semantic Segmentation and 3D Reconstruction from Monocular Video Abhijit Kundu, Yin Li, Frank Dellaert, Fuxin Li, James M. Rehg
ECCV 2014 Movement Pattern Histogram for Action Recognition and Retrieval Arridhana Ciptadi, Matthew S. Goodwin, James M. Rehg
CVPR 2014 RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions Ahmad Humayun, Fuxin Li, James M. Rehg
CVPR 2014 The Secrets of Salient Object Segmentation Yin Li, Xiaodi Hou, Christof Koch, James M. Rehg, Alan L. Yuille
ICCV 2013 GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity Jia Xu, Vamsi K. Ithapu, Lopamudra Mukherjee, James M. Rehg, Vikas Singh
ICCV 2013 Learning to Predict Gaze in Egocentric Video Yin Li, Alireza Fathi, James M. Rehg
CVPR 2013 Modeling Actions Through State Changes Alireza Fathi, James M. Rehg
ICCV 2013 Video Segmentation by Tracking Many Figure-Ground Segments Fuxin Li, Taeyoung Kim, Ahmad Humayun, David Tsai, James M. Rehg
ECCV 2012 Categorizing Turn-Taking Interactions Karthir Prabhakar, James M. Rehg
CVPR 2012 Learning Sparse Covariance Patterns for Natural Scenes Liwei Wang, Yin Li, Jiaya Jia, Jian Sun, David P. Wipf, James M. Rehg
ECCV 2012 Learning to Recognize Daily Actions Using Gaze Alireza Fathi, Yin Li, James M. Rehg
CVPR 2012 Social Interactions: A First-Person Perspective Alireza Fathi, Jessica K. Hodgins, James M. Rehg
ECCV 2012 Weakly Supervised Learning of Object Segmentations from Web-Scale Video Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan A. Essa, James M. Rehg, Rahul Sukthankar
ECCVW 2012 Weakly Supervised Learning of Object Segmentations from Web-Scale Video Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan A. Essa, James M. Rehg, Rahul Sukthankar
JMLR 2011 Efficient and Effective Visual Codebook Generation Using Additive Kernels Jianxin Wu, Wei-Chian Tan, James M. Rehg
ICCV 2011 Large-Scale Image Annotation Using Visual Synset David Tsai, Yushi Jing, Yi Liu, Henry A. Rowley, Sergey Ioffe, James M. Rehg
CVPR 2011 Learning to Recognize Objects in Egocentric Activities Alireza Fathi, Xiaofeng Ren, James M. Rehg
ICCV 2011 Understanding Egocentric Activities Alireza Fathi, Ali Farhadi, James M. Rehg
CVPR 2010 Temporal Causality for the Analysis of Visual Events Karthir Prabhakar, Sang Min Oh, Ping Wang, Gregory D. Abowd, James M. Rehg
ICCV 2009 Beyond the Euclidean Distance: Creating Effective Visual Codebooks Using the Histogram Intersection Kernel Jianxin Wu, James M. Rehg
ICCV 2009 Quasi-Periodic Event Analysis for Social Game Retrieval Ping Wang, Gregory D. Abowd, James M. Rehg
MLJ 2008 Boosted Bayesian Network Classifiers Yushi Jing, Vladimir Pavlovic, James M. Rehg
CVPR 2008 Where Am I: Place Instance and Category Recognition Using Spatial PACT Jianxin Wu, James M. Rehg
ICCV 2007 A Scalable Approach to Activity Recognition Based on Object Use Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, Matthai Philipose, James M. Rehg
AISTATS 2007 Fast Mean Shift with Accurate and Stable Convergence Ping Wang, Dongryeol Lee, Alexander Gray, James M. Rehg
CVPR 2006 A Modular Approach to the Analysis and Evaluation of Particle Filters for Figure Tracking Ping Wang, James M. Rehg
CVPR 2006 Parameterized Duration Mmodeling for Switching Linear Dynamic Systems Sang Min Oh, James M. Rehg, Frank Dellaert
ECCV 2006 Towards Optimal Training of Cascaded Detectors S. Charles Brubaker, Matthew D. Mullin, James M. Rehg
AAAI 2005 Data-Driven MCMC for Learning and Inference in Switching Linear Dynamic Systems Sang Min Oh, James M. Rehg, Tucker R. Balch, Frank Dellaert
ICML 2005 Efficient Discriminative Learning of Bayesian Network Classifier via Boosted Augmented Naive Bayes Yushi Jing, Vladimir Pavlovic, James M. Rehg
CVPR 2005 Improving the Speed of Virtual Rear Projection: A GPU-Centric Architecture Matthew Flagg, Jay Summet, James M. Rehg
CVPRW 2005 Improving the Speed of Virtual Rear Projection: A GPU-Centric Architecture Matthew Flagg, Jay Summet, James M. Rehg
ICCV 2005 Learning and Inference in Parametric Switching Linear Dynamical Systems Sang Min Oh, James M. Rehg, Tucker R. Balch, Frank Dellaert
ICML 2005 Linear Asymmetric Classifier for Cascade Detectors Jianxin Wu, Matthew D. Mullin, James M. Rehg
CVPR 2004 A Flexible Projector-Camera System for Multi-Planar Displays Mark Ashdown, Matthew Flagg, Rahul Sukthankar, James M. Rehg
CVPR 2004 Asymmetrically Boosted HMM for Speech Reading Pei Yin, Irfan A. Essa, James M. Rehg
CVPR 2004 Automatic Cascade Training with Perturbation Bias Jie Sun, James M. Rehg, Aaron F. Bobick
NeurIPS 2003 Learning a Rare Event Detection Cascade by Direct Feature Selection Jianxin Wu, James M. Rehg, Matthew D. Mullin
CVPR 2003 Shadow Elimination and Occluder Light Suppression for Multi-Projector Displays Tat-Jen Cham, James M. Rehg, Rahul Sukthankar, Gita Sukthankar
CVPR 2001 Reconstruction of 3-D Figure Motion from 2-D Correspondences David E. DiFranco, Tat-Jen Cham, James M. Rehg
ICCV 2001 Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar, James M. Rehg, David Hsu, Thomas Leung
CVPR 2000 Impact of Dynamic Model Learning on Classification of Human Motion Vladimir Pavlovic, James M. Rehg
NeurIPS 2000 Learning Switching Linear Models of Human Motion Vladimir Pavlovic, James M. Rehg, John MacCormick
CVPR 2000 Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, Thomas S. Huang
ICCV 1999 A Dynamic Bayesian Network Approach to Figure Tracking Using Learned Dynamic Models Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Kevin P. Murphy
CVPR 1999 A Multiple Hypothesis Approach to Figure Tracking Tat-Jen Cham, James M. Rehg
ICCV 1999 Dynamic Feature Ordering for Efficient Registration Tat-Jen Cham, James M. Rehg
CVPR 1999 Statistical Color Models with Application to Skin Detection Michael J. Jones, James M. Rehg
CVPR 1999 Vision-Based Speaker Detection Using Bayesian Networks James M. Rehg, Kevin P. Murphy, Paul W. Fieguth
CVPR 1998 Singularity Analysis for Articulated Object Tracking Daniel D. Morris, James M. Rehg
CVPR 1997 Analyzing Articulated Motion Using Expectation-Maximization Henry A. Rowley, James M. Rehg
CVPR 1997 Vision for a Smart Kiosk James M. Rehg, Maria Loughlin, Keith Waters
ICCV 1995 Model-Based Tracking of Self-Occluding Articulated Objects James M. Rehg, Takeo Kanade
ECCV 1994 Visual Tracking of High DOF Articulated Structures: An Application to Human Hand Tracking James M. Rehg, Takeo Kanade
ECCV 1992 A Bayesian Multiple Hypothesis Approach to Contour Grouping Ingemar J. Cox, James M. Rehg, Sunita L. Hingorani
AAAI 1988 Upgrading Design Systems Sarosh Talukdar, James M. Rehg, Rob Woodbury, Alberto Elfes