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ORCIDJames M. Rehg
James Matthew Rehg – Jim Rehg
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- affiliation: Georgia Institute of Technology, Atlanta, USA
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2020 – today
- 2024
[j43]Bolin Lai
, Miao Liu, Fiona Ryan, James M. Rehg:
In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation and Beyond. Int. J. Comput. Vis. 132(3): 854-871 (2024)- [c195]Ozgur Kara, Bariscan Kurtkaya, Hidir Yesiltepe, James M. Rehg, Pinar Yanardag:
RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models. CVPR 2024: 6507-6516 - [c194]Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu:
PointInfinity: Resolution-Invariant Point Diffusion Models. CVPR 2024: 10050-10060 - [c193]Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg:
ZeroShape: Regression-Based Zero-Shot Shape Reconstruction. CVPR 2024: 10061-10071 - [c192]Sangmin Lee, Bolin Lai, Fiona Ryan, Bikram Boote, James M. Rehg:
Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations. CVPR 2024: 14585-14595 - [c191]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:
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs. CVPR 2024: 15141-15151 - [c190]Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt 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 González, 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 Arbeláez, Gedas Bertasius, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray:
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CVPR 2024: 19383-19400 - [c189]Xu Cao, Tong Zhou, Yunsheng Ma, Wenqian Ye, Can Cui, Kun Tang, Zhipeng Cao, Kaizhao Liang, Ziran Wang, James M. Rehg, Chao Zheng:
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding. CVPR 2024: 21819-21830 - [c188]Wenqi Jia, Miao Liu, Hao Jiang, Ishwarya Ananthabhotla, James M. Rehg, Vamsi Krishna Ithapu, Ruohan Gao:
The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective. CVPR 2024: 26386-26395 - [c187]Bolin Lai, Xiaoliang Dai, Lawrence Chen, Guan Pang, James M. Rehg, Miao Liu:
LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning. ECCV (9) 2024: 135-155 - [c186]Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, James M. Rehg, Matt Feiszli:
3˟ 2: 3D Object Part Segmentation by 2D Semantic Correspondences. ECCV (38) 2024: 149-166 - [c185]Bolin Lai, Fiona Ryan, Wenqi Jia, Miao Liu, James M. Rehg:
Listen to Look Into the Future: Audio-Visual Egocentric Gaze Anticipation. ECCV (9) 2024: 192-210 - [c184]Maxwell A. Xu, Alexander Moreno, Hui Wei, Benjamin M. Marlin, James Matthew Rehg:
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning. ICLR 2024 - [i82]Sangmin Lee, Bolin Lai, Fiona Ryan, Bikram Boote, James M. Rehg:
Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations. CoRR abs/2403.02090 (2024) - [i81]Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu:
PointInfinity: Resolution-Invariant Point Diffusion Models. CoRR abs/2404.03566 (2024) - [i80]Xu Cao, Bolin Lai, Wenqian Ye, Yunsheng Ma, Joerg Heintz, Jintai Chen, Jianguo Cao, James M. Rehg:
What is the Visual Cognition Gap between Humans and Multimodal LLMs? CoRR abs/2406.10424 (2024) - [i79]Wenqian Ye, Guangtao Zheng, Yunsheng Ma, Xu Cao, Bolin Lai, James M. Rehg, Aidong Zhang:
MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs. CoRR abs/2406.17126 (2024) - [i78]Hui Wei, Maxwell A. Xu, Colin Samplawski, James M. Rehg, Santosh Kumar, Benjamin M. Marlin:
Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation. CoRR abs/2406.18848 (2024) - [i77]Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, Matt Feiszli, James M. Rehg:
3x2: 3D Object Part Segmentation by 2D Semantic Correspondences. CoRR abs/2407.09648 (2024) - [i76]Bikram Boote, Anh Thai, Wenqi Jia, Ozgur Kara, Stefan Stojanov, James M. Rehg, Sangmin Lee:
Leveraging Object Priors for Point Tracking. CoRR abs/2409.05786 (2024) - [i75]Sangmin Lee, Minzhi Li, Bolin Lai, Wenqi Jia, Fiona Ryan, Xu Cao, Ozgur Kara, Bikram Boote, Weiyan Shi, Diyi Yang, James M. Rehg:
Towards Social AI: A Survey on Understanding Social Interactions. CoRR abs/2409.15316 (2024) - [i74]Bolin Lai, Sam Toyer, Tushar Nagarajan, Rohit Girdhar, Shengxin Zha, James M. Rehg, Kris Kitani, Kristen Grauman, Ruta Desai, Miao Liu:
Human Action Anticipation: A Survey. CoRR abs/2410.14045 (2024) - [i73]Yue Wang, Xu Cao, Yaojun Hu, Haochao Ying, James Matthew Rehg, Jimeng Sun, Jian Wu, Jintai Chen:
AnyECG: Foundational Models for Electrocardiogram Analysis. CoRR abs/2411.17711 (2024) - [i72]Xiang Li, Zixuan Huang, Anh Thai, James M. Rehg:
Symmetry Strikes Back: From Single-Image Symmetry Detection to 3D Generation. CoRR abs/2411.17763 (2024) - [i71]Tarik Can Ozden, Ozgur Kara, Oguzhan Akcin, Kerem Zaman, Shashank Srivastava, Sandeep P. Chinchali, James M. Rehg:
Optimization-Free Image Immunization Against Diffusion-Based Editing. CoRR abs/2411.17957 (2024) - [i70]Maxwell A. Xu, Jaya Narain, Gregory Darnell, Haraldur Tómas Hallgrímsson, Hyewon Jeong, Darren Forde, Richard Fineman, Karthik J. Raghuram, James M. Rehg, Shirley You Ren:
RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data. CoRR abs/2411.18822 (2024) - [i69]Bolin Lai, Felix Juefei-Xu, Miao Liu, Xiaoliang Dai, Nikhil Mehta, Chenguang Zhu, Zeyi Huang, James M. Rehg, Sangmin Lee, Ning Zhang, Tong Xiao:
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation. CoRR abs/2412.01027 (2024) - 2023
- [j42]Yin Li, Miao Liu, James M. Rehg:
In the Eye of the Beholder: Gaze and Actions in First Person Video. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6731-6747 (2023) - [c183]Bolin Lai, Hongxin Zhang, Miao Liu, Aryan J. Pariani, Fiona Ryan, Wenqi Jia, Shirley Anugrah Hayati, James M. Rehg, Diyi Yang:
Werewolf Among Us: Multimodal Resources for Modeling Persuasion Behaviors in Social Deduction Games. ACL (Findings) 2023: 6570-6588 - [c182]Meera Hahn, Amit Raj, James M. Rehg:
Which way is 'right'?: Uncovering limitations of Vision-and-Language Navigation Models. AAMAS 2023: 2415-2417 - [c181]Supriya Nagesh, Nina Mishra, Yonatan Naamad, James M. Rehg, Mehul A. Shah, Alexei Wagner:
Explaining a machine learning decision to physicians via counterfactuals. CHIL 2023: 556-577 - [c180]Zixuan Huang, Varun Jampani, Anh Thai, Yuanzhen Li, Stefan Stojanov, James M. Rehg:
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency. CVPR 2023: 12912-12922 - [c179]Fiona Ryan, Hao Jiang, Abhinav Shukla, James M. Rehg, Vamsi Krishna Ithapu:
Egocentric Auditory Attention Localization in Conversations. CVPR 2023: 14663-14674 - [c178]Anh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang, Bikram Boote, James M. Rehg:
Low-shot Object Learning with Mutual Exclusivity Bias. NeurIPS 2023 - [i68]Fiona Ryan, Hao Jiang, Abhinav Shukla, James M. Rehg, Vamsi Krishna Ithapu:
Egocentric Auditory Attention Localization in Conversations. CoRR abs/2303.16024 (2023) - [i67]Zixuan Huang, Varun Jampani, Anh Thai, Yuanzhen Li, Stefan Stojanov, James M. Rehg:
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-based Consistency. CoRR abs/2304.06247 (2023) - [i66]Bolin Lai, Fiona Ryan, Wenqi Jia, Miao Liu, James M. Rehg:
Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation. CoRR abs/2305.03907 (2023) - [i65]Supriya Nagesh, Nina Mishra, Yonatan Naamad, James M. Rehg, Mehul A. Shah, Alexei Wagner:
Explaining a machine learning decision to physicians via counterfactuals. CoRR abs/2306.06325 (2023) - [i64]Maxwell A. Xu, Alexander Moreno, Hui Wei, Benjamin M. Marlin, James M. Rehg:
Retrieval-Based Reconstruction For Time-series Contrastive Learning. CoRR abs/2311.00519 (2023) - [i63]Meera Hahn, Amit Raj, James M. Rehg:
Which way is 'right'?: Uncovering limitations of Vision-and-Language Navigation model. CoRR abs/2312.00151 (2023) - [i62]Anh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang, Bikram Boote, James M. Rehg:
Low-shot Object Learning with Mutual Exclusivity Bias. CoRR abs/2312.03533 (2023) - [i61]Bolin Lai, Xiaoliang Dai, Lawrence Chen, Guan Pang, James M. Rehg, Miao Liu:
LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning. CoRR abs/2312.03849 (2023) - [i60]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:
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs. CoRR abs/2312.04372 (2023) - [i59]Ozgur Kara, Bariscan Kurtkaya, Hidir Yesiltepe, James M. Rehg, Pinar Yanardag:
RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models. CoRR abs/2312.04524 (2023) - [i58]Wenqi Jia, Miao Liu, Hao Jiang, Ishwarya Ananthabhotla, James M. Rehg, Vamsi Krishna Ithapu, Ruohan Gao:
The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective. CoRR abs/2312.12870 (2023) - [i57]Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg:
ZeroShape: Regression-based Zero-shot Shape Reconstruction. CoRR abs/2312.14198 (2023) - 2022
- [j41]Md. Azim Ullah, Soujanya Chatterjee, Christopher P. Fagundes, Cho Lam, Inbal Nahum-Shani, James M. Rehg, David W. Wetter, Santosh Kumar:
mRisk: Continuous Risk Estimation for Smoking Lapse from Noisy Sensor Data with Incomplete and Positive-Only Labels. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 143:1-143:29 (2022) - [j40]Yanxi Liu, James M. Rehg, Camillo J. Taylor, Ying Wu:
Introduction to the Special Section of CVPR 2017. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8702-8703 (2022) - [c177]Anh Thai, Stefan Stojanov, Zixuan Huang, James M. Rehg:
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction. 3DV 2022: 209-218 - [c176]Bolin Lai, Miao Liu, Fiona Ryan, James M. Rehg:
In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation. BMVC 2022: 227 - [c175]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 Kolár, 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 Puentes, 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 A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR 2022: 18973-18990 - [c174]Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li:
Egocentric Activity Recognition and Localization on a 3D Map. ECCV (13) 2022: 621-638 - [c173]Wenqi Jia, Miao Liu, James M. Rehg:
Generative Adversarial Network for Future Hand Segmentation from Egocentric Video. ECCV (13) 2022: 639-656 - [c172]Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg:
Planes vs. Chairs: Category-Guided 3D Shape Learning Without any 3D Cues. ECCV (1) 2022: 727-744 - [c171]Meera Hahn, James M. Rehg:
Transformer-based Localization from Embodied Dialog with Large-scale Pre-training. AACL/IJCNLP (2) 2022: 295-301 - [c170]Alexander Moreno, Zhenke Wu, Supriya Nagesh, Walter H. Dempsey, James M. Rehg:
Kernel Multimodal Continuous Attention. NeurIPS 2022 - [c169]Stefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg:
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization. NeurIPS 2022 - [c168]Maxwell A. Xu, Alexander Moreno, Supriya Nagesh, Varol Burak Aydemir, David W. Wetter, Santosh Kumar, James M. Rehg:
PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation. NeurIPS 2022 - [i56]Wenqi Jia, Miao Liu, James M. Rehg:
Generative Adversarial Network for Future Hand Segmentation from Egocentric Video. CoRR abs/2203.11305 (2022) - [i55]Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg:
Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues. CoRR abs/2204.10235 (2022) - [i54]Bolin Lai, Miao Liu, Fiona Ryan, James M. Rehg:
In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation. CoRR abs/2208.04464 (2022) - [i53]Meera Hahn, James M. Rehg:
Transformer-based Localization from Embodied Dialog with Large-scale Pre-training. CoRR abs/2210.04864 (2022) - [i52]Stefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg:
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization. CoRR abs/2211.15059 (2022) - [i51]Maxwell A. Xu, Alexander Moreno, Supriya Nagesh, Varol Burak Aydemir, David W. Wetter, Santosh Kumar, James M. Rehg:
PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation. CoRR abs/2212.07514 (2022) - [i50]Bolin Lai, Hongxin Zhang, Miao Liu, Aryan J. Pariani, Fiona Ryan, Wenqi Jia, Shirley Anugrah Hayati, James M. Rehg, Diyi Yang:
Werewolf Among Us: A Multimodal Dataset for Modeling Persuasion Behaviors in Social Deduction Games. CoRR abs/2212.08279 (2022) - [i49]James M. Rehg, Pierre-Yves Oudeyer, Linda B. Smith, Sho Tsuji, Stefan Stojanov, Ngoc Anh Thai:
Developmental Machine Learning: From Human Learning to Machines and Back (Dagstuhl Seminar 22422). Dagstuhl Reports 12(10): 143-165 (2022) - 2021
- [c167]Anh Thai, Stefan Stojanov, Vijay Upadhya, James M. Rehg:
3D Reconstruction of Novel Object Shapes from Single Images. 3DV 2021: 85-95 - [c166]Miao Liu, Dexin Yang, Yan Zhang, Zhaopeng Cui, James M. Rehg, Siyu Tang:
4D Human Body Capture from Egocentric Video via 3D Scene Grounding. 3DV 2021: 930-939 - [c165]Stefan Stojanov, Anh Thai, James M. Rehg:
Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias. CVPR 2021: 1798-1808 - [c164]Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller:
Orthogonal Over-Parameterized Training. CVPR 2021: 7251-7260 - [c163]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 - [c162]Keuntaek Lee, Bogdan I. Vlahov, Jason Gibson, James M. Rehg, Evangelos A. Theodorou:
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning. ICRA 2021: 10793-10799 - [c161]Meera Hahn, Devendra Singh Chaplot, Shubham Tulsiani, Mustafa Mukadam, James M. Rehg, Abhinav Gupta:
No RL, No Simulation: Learning to Navigate without Navigating. NeurIPS 2021: 26661-26673 - [i48]Anh Thai, Stefan Stojanov, Isaac Rehg, James M. Rehg:
Does Continual Learning = Catastrophic Forgetting? CoRR abs/2101.07295 (2021) - [i47]Stefan Stojanov, Anh Thai, James M. Rehg:
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias. CoRR abs/2101.07296 (2021) - [i46]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) - [i45]Shivam Khare, Kun Cao, James M. Rehg:
Unsupervised Class-Incremental Learning Through Confusion. CoRR abs/2104.04450 (2021) - [i44]Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li:
Egocentric Activity Recognition and Localization on a 3D Map. CoRR abs/2105.09544 (2021) - [i43]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, Christian Fuegen, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, 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 Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR abs/2110.07058 (2021) - [i42]Meera Hahn, Devendra Singh Chaplot, Shubham Tulsiani, Mustafa Mukadam, James M. Rehg, Abhinav Gupta:
No RL, No Simulation: Learning to Navigate without Navigating. CoRR abs/2110.09470 (2021) - [i41]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) - [i40]Supriya Nagesh, Alexander Moreno, Stephanie M. Carpenter, Jamie Yap, Soujanya Chatterjee, Steven Lloyd Lizotte, Neng Wan, Santosh Kumar, Cho Lam, David W. Wetter, Inbal Nahum-Shani, James M. Rehg:
Transformers for prompt-level EMA non-response prediction. CoRR abs/2111.01193 (2021) - [i39]Alexander Moreno, Supriya Nagesh, Zhenke Wu, Walter H. Dempsey, James M. Rehg:
Kernel Deformed Exponential Families for Sparse Continuous Attention. CoRR abs/2111.01222 (2021) - 2020
- [j39]Soujanya Chatterjee, Alexander Moreno, Steven Lloyd Lizotte, Sayma Akther, Emre Ertin, Christopher P. Fagundes, Cho Lam, James M. Rehg, Neng Wan, David W. Wetter, Santosh Kumar:
SmokingOpp: Detecting the Smoking 'Opportunity' Context Using Mobile Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 4:1-4:26 (2020) - [j38]Yun C. Zhang, Shibo Zhang, Miao Liu, Elyse R. Daly, Samuel L. Battalio, Santosh Kumar, Bonnie Spring, James M. Rehg, Nabil Alshurafa:
SyncWISE: Window Induced Shift Estimation for Synchronization of Video and Accelerometry from Wearable Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 107:1-107:26 (2020) - [j37]Varol Burak Aydemir, Supriya Nagesh, Md. Mobashir Hasan Shandhi, Joanna Fan, Liviu Klein, Mozziyar Etemadi, James Alex Heller, Omer T. Inan, James M. Rehg:
Classification of Decompensated Heart Failure From Clinical and Home Ballistocardiography. IEEE Trans. Biomed. Eng. 67(5): 1303-1313 (2020) - [j36]Beren Semiz, Sinan Hersek, Maziyar Baran Pouyan, Cynthia Partida, Leticia Blazquez-Arroyo, Van Selby, Georg Wieselthaler, James M. Rehg, Liviu Klein, Omer T. Inan:
Detecting Suspected Pump Thrombosis in Left Ventricular Assist Devices via Acoustic Analysis. IEEE J. Biomed. Health Informatics 24(7): 1899-1906 (2020) - [c160]Meera Hahn, Asim Kadav, James M. Rehg, Hans Peter Graf:
Tripping through time: Efficient Localization of Activities in Videos. BMVC 2020 - [c159]Miao Liu, Xin Chen, Yun Zhang, Yin Li, James M. Rehg:
Attention Distillation for Learning Video Representations. BMVC 2020 - [c158]Seunghwan Cha, James Ainooson, Eunji Chong, Isabelle Soulières, James M. Rehg, Maithilee Kunda:
Enhancing Cognitive Assessment through Multimodal Sensing: A Case Study Using the Block Design Test. CogSci 2020 - [c157]Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg:
Detecting Attended Visual Targets in Video. CVPR 2020: 5395-5405 - [c156]Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song:
Regularizing Neural Networks via Minimizing Hyperspherical Energy. CVPR 2020: 6916-6925 - [c155]Miao Liu, Siyu Tang, Yin Li, James M. Rehg:
Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video. ECCV (1) 2020: 704-721 - [c154]Meera Hahn, Jacob Krantz, Dhruv Batra, Devi Parikh, James M. Rehg, Stefan Lee, Peter Anderson:
Where Are You? Localization from Embodied Dialog. EMNLP (1) 2020: 806-822 - [c153]Alexander Moreno, Zhenke Wu, Jamie Yap, Cho Lam, David W. Wetter, Inbal Nahum-Shani, Walter H. Dempsey, James M. Rehg:
A Robust Functional EM Algorithm for Incomplete Panel Count Data. NeurIPS 2020 - [i38]Alexander Moreno, Zhenke Wu, Jamie Yap, David W. Wetter, Cho Lam, Inbal Nahum-Shani, Walter H. Dempsey, James M. Rehg:
A Functional EM Algorithm for Panel Count Data with Missing Counts. CoRR abs/2003.01169 (2020) - [i37]Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg:
Detecting Attended Visual Targets in Video. CoRR abs/2003.02501 (2020) - [i36]Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song:
Orthogonal Over-Parameterized Training. CoRR abs/2004.04690 (2020) - [i35]Keuntaek Lee, Bogdan I. Vlahov, Jason Gibson, James M. Rehg, Evangelos A. Theodorou:
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning. CoRR abs/2004.08051 (2020) - [i34]Yin Li, Miao Liu, James M. Rehg:
In the Eye of the Beholder: Gaze and Actions in First Person Video. CoRR abs/2006.00626 (2020) - [i33]Anh Thai, Stefan Stojanov, Vijay Upadhya, James M. Rehg:
3D Reconstruction of Novel Object Shapes from Single Images. CoRR abs/2006.07752 (2020) - [i32]Meera Hahn, Jacob Krantz, Dhruv Batra, Devi Parikh, James M. Rehg, Stefan Lee, Peter Anderson:
Where Are You? Localization from Embodied Dialog. CoRR abs/2011.08277 (2020) - [i31]Miao Liu, Dexin Yang, Yan Zhang, Zhaopeng Cui, James M. Rehg, Siyu Tang:
4D Human Body Capture from Egocentric Video via 3D Scene Grounding. CoRR abs/2011.13341 (2020)
2010 – 2019
- 2019
- [j35]Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg:
Vision-Based High-Speed Driving With a Deep Dynamic Observer. IEEE Robotics Autom. Lett. 4(2): 1564-1571 (2019) - [c152]Brandon M. Smith, Visesh Chari