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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
- 2025
[c197]Maxwell A. Xu, Jaya Narain, Gregory Darnell, Haraldur Tómas Hallgrímsson, Hyewon Jeong, Darren Forde, Richard Andres Fineman, Karthik Jayaraman Raghuram, James Matthew Rehg, Shirley You Ren:
RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data. ICLR 2025- [i94]Zixuan Huang, Mark Boss, Aaryaman Vasishta, James M. Rehg, Varun Jampani:
SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images. CoRR abs/2501.04689 (2025) - [i93]Mithun Saha, Maxwell A. Xu, Wanting Mao, Sameer Neupane, James M. Rehg, Santosh Kumar:
Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings. CoRR abs/2502.01108 (2025) - [i92]Amin Adibi, Xu Cao, Zongliang Ji, Jivat Neet Kaur, Winston Chen, Elizabeth Healey, Brighton Nuwagira, Wenqian Ye, Geoffrey Woollard, Maxwell A. Xu, Hejie Cui, Johnny Xi, Trenton Chang, Vasiliki Bikia, Nicole Zhang, Ayush Noori, Yuan Xia, Md. Belal Hossain, Hanna A. Frank, Alina Peluso
, Yuan Pu, Shannon Zejiang Shen, John Wu, Adibvafa Fallahpour, Sazan Mahbub, Ross Duncan, Yuwei Zhang, Yurui Cao, Zuheng Xu, Michael Craig, Rahul G. Krishnan, Rahmatollah Beheshti, James M. Rehg, Mohammad Ehsanul Karim, Megan Coffee, Leo Anthony Celi, Jason Alan Fries, Mohsen Sadatsafavi, Dennis L. Shung, Shannon K. McWeeney, Jessica Dafflon, Sarah Jabbour:
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium. CoRR abs/2502.06693 (2025) - [i91]Xinpeng Li, Shijian Deng, Bolin Lai, Weiguo Pian, James M. Rehg, Yapeng Tian:
Towards Online Multi-Modal Social Interaction Understanding. CoRR abs/2503.19851 (2025) - [i90]Wenqi Jia, Bolin Lai, Miao Liu, Danfei Xu, James M. Rehg:
Learning Predictive Visuomotor Coordination. CoRR abs/2503.23300 (2025) - [i89]Xu Cao, Pranav Virupaksha, Wenqi Jia, Bolin Lai, Fiona Ryan, Sangmin Lee, James M. Rehg:
SocialGesture: Delving into Multi-person Gesture Understanding. CoRR abs/2504.02244 (2025) - [i88]Ozgur Kara, Krishna Kumar Singh, Feng Liu, Duygu Ceylan, James M. Rehg, Tobias Hinz:
ShotAdapter: Text-to-Multi-Shot Video Generation with Diffusion Models. CoRR abs/2505.07652 (2025) - [i87]Anh Thai, Stefan Stojanov, Zixuan Huang, Bikram Boote, James M. Rehg:
MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language Models. CoRR abs/2505.20122 (2025) - [i86]Bolin Lai, Sangmin Lee, Xu Cao, Xiang Li, James M. Rehg:
Incorporating Flexible Image Conditioning into Text-to-Video Diffusion Models without Training. CoRR abs/2505.20629 (2025) - 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) - [c196]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 - [c195]Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu:
PointInfinity: Resolution-Invariant Point Diffusion Models. CVPR 2024: 10050-10060 - [c194]Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg:
ZeroShape: Regression-Based Zero-Shot Shape Reconstruction. CVPR 2024: 10061-10071 - [c193]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 - [c192]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 - [c191]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 K. 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 J. 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 - [c190]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 - [c189]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 - [c188]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 - [c187]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 - [c186]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 - [c185]Bikram Boote, Anh Thai, Wenqi Jia, Ozgur Kara, Stefan Stojanov, James M. Rehg, Sangmin Lee:
Leveraging Object Priors for Point Tracking. ECCV Workshops (10) 2024: 343-360 - [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 - [i85]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) - [i84]Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu:
PointInfinity: Resolution-Invariant Point Diffusion Models. CoRR abs/2404.03566 (2024) - [i83]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) - [i82]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) - [i81]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) - [i80]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) - [i79]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) - [i78]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) - [i77]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) - [i76]Xu Cao, Kaizhao Liang, Kuei-Da Liao, Tianren Gao, Wenqian Ye, Jintai Chen, Zhiguang Ding, Jianguo Cao, James M. Rehg, Jimeng Sun:
Medical Video Generation for Disease Progression Simulation. CoRR abs/2411.11943 (2024) - [i75]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) - [i74]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) - [i73]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) - [i72]Maxwell A. Xu, Jaya Narain, Gregory Darnell, Haraldur Tómas Hallgrímsson, Hyewon Jeong, Darren Forde, Richard Fineman, Karthik Jayaraman Raghuram, James M. Rehg, Shirley You Ren:
RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data. CoRR abs/2411.18822 (2024) - [i71]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) - [i70]Kevin Gao, Maxwell A. Xu, James M. Rehg, Alexander Moreno:
PyPulse: A Python Library for Biosignal Imputation. CoRR abs/2412.06382 (2024) - [i69]Fiona Ryan, Ajay Bati, Sangmin Lee, Daniel Bolya, Judy Hoffman, James M. Rehg:
Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders. CoRR abs/2412.09586 (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 K. 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 K. 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 K. 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 K. 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 Marita 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, Amit Agrawal, James M. Rehg, Ram Sever:
Towards Accurate 3D Human Body Reconstruction from Silhouettes. 3DV 2019: 279-288 - [c151]Grady R. Williams, Brian Goldfain, Keuntaek Lee, Jason Gibson, James M. Rehg, Evangelos A. Theodorou:
Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control. CoRL 2019: 969-978 - [c150]Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari:
Learning to Generate Synthetic Data via Compositing. CVPR 2019: 461-470 - [c149]Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger:
Taking a Deeper Look at the Inverse Compositional Algorithm. CVPR 2019: 4581-4590 - [c148]Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, Rohith MV, Stefan Stojanov, James M. Rehg:
Unsupervised 3D Pose Estimation With Geometric Self-Supervision. CVPR 2019: 5714-5724 - [c147]Stefan Stojanov, Samarth Mishra, Ngoc Anh Thai, Nikhil Dhanda, Ahmad Humayun, Chen Yu, Linda B. Smith, James M. Rehg:
Incremental Object Learning From Contiguous Views. CVPR 2019: 8777-8786 - [c146]Supriya Nagesh, Alexander Moreno, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, James M. Rehg:
A Spatiotemporal Approach to Predicting Glaucoma Progression Using a CT-HMM. MLHC 2019: 140-159 - [c145]Weiyang Liu, Zhen Liu, James M. Rehg, Le Song:
Neural Similarity Learning. NeurIPS 2019: 5026-5037 - [i30]Meera Hahn, Andrew Silva, James M. Rehg:
Action2Vec: A Crossmodal Embedding Approach to Action Learning. CoRR abs/1901.00484 (2019) - [i29]Eunji Chong, Katha Chanda, Zhefan Ye, Audrey Southerland, Nataniel Ruiz, Rebecca M. Jones, Agata Rozga, James M. Rehg:
Detecting Gaze Towards Eyes in Natural Social Interactions and its Use in Child Assessment. CoRR abs/1902.00607 (2019) - [i28]Miao Liu, Xin Chen, Yun Zhang, Yin Li, James M. Rehg:
Paying More Attention to Motion: Attention Distillation for Learning Video Representations. CoRR abs/1904.03249 (2019) - [i27]Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, M. V. Rohith, Stefan Stojanov, James M. Rehg:
Unsupervised 3D Pose Estimation with Geometric Self-Supervision. CoRR abs/1904.04812 (2019) - [i26]Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari:
Learning to Generate Synthetic Data via Compositing. CoRR abs/1904.05475 (2019) - [i25]Meera Hahn, Asim Kadav, James M. Rehg, Hans Peter Graf:
Tripping through time: Efficient Localization of Activities in Videos. CoRR abs/1904.09936 (2019) - [i24]Grady Williams, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou:
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics. CoRR abs/1905.05162 (2019) - [i23]Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song:
Compressive Hyperspherical Energy Minimization. CoRR abs/1906.04892 (2019) - [i22]Weiyang Liu, Zhen Liu, James M. Rehg, Le Song:
Neural Similarity Learning. CoRR abs/1910.13003 (2019) - [i21]Miao Liu, Siyu Tang, Yin Li, James M. Rehg:
Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Egocentric Activity. CoRR abs/1911.10967 (2019) - 2018
- [j34]Tapomayukh Bhattacharjee, James M. Rehg, Charles C. Kemp:
Inferring Object Properties with a Tactile-Sensing Array Given Varying Joint Stiffness and Velocity. Int. J. Humanoid Robotics 15(1): 1750024:1-1750024:32 (2018) - [j33]Yun C. Zhang, James M. Rehg:
Watching the TV Watchers. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(2): 88:1-88:27 (2018) - [j32]Grady Williams, Paul Drews, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou:
Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving. IEEE Trans. Robotics 34(6): 1603-1622 (2018) - [c144]Brian Hrolenok, Tucker Balch, David Byrd, Rebecca Roberts, Chanho Kim, James M. Rehg, Scott Gilliland, Kim Wallen:
Use of position tracking to infer social structure in rhesus macaques. ACI 2018: 15:1-15:5 - [c143]Nataniel Ruiz, Eunji Chong, James M. Rehg:
Fine-Grained Head Pose Estimation Without Keypoints. CVPR Workshops 2018: 2074-2083 - [c142]Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song:
Decoupled Networks. CVPR 2018: 2771-2779 - [c141]Abhijit Kundu, Yin Li, James M. Rehg:
3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare. CVPR 2018: 3559-3568 - [c140]Chanho Kim, Fuxin Li, James M. Rehg:
Multi-object Tracking with Neural Gating Using Bilinear LSTM. ECCV (8) 2018: 208-224 - [c139]Eunji Chong, Nataniel Ruiz, Yongxin Wang, Yun Zhang, Agata Rozga, James M. Rehg:
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency. ECCV (5) 2018: 397-412 - [c138]Zhaoyang Lv, Kihwan Kim, Alejandro J. Troccoli, Deqing Sun, James M. Rehg, Jan Kautz:
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation. ECCV (5) 2018: 484-501 - [c137]Yin Li, Miao Liu, James M. Rehg:
In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video. ECCV (5) 2018: 639-655 - [c136]Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James M. Rehg, Le Song:
Towards Black-box Iterative Machine Teaching. ICML 2018: 3147-3155 - [c135]Grady Williams, Brian Goldfain, Paul Drews, James M. Rehg, Evangelos A. Theodorou:
Best Response Model Predictive Control for Agile Interactions Between Autonomous Ground Vehicles. ICRA 2018: 2403-2410 - [c134]Grady Williams, Brian Goldfain, Paul Drews, Kamil Saigol, James M. Rehg, Evangelos A. Theodorou:
Robust Sampling Based Model Predictive Control with Sparse Objective Information. Robotics: Science and Systems 2018 - [i20]Zhaoyang Lv, Kihwan Kim, Alejandro J. Troccoli, Deqing Sun, James M. Rehg, Jan Kautz:
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation. CoRR abs/1804.04259 (2018) - [i19]Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song:
Decoupled Networks. CoRR abs/1804.08071 (2018) - [i18]Brian Goldfain, Paul Drews, Changxi You, Matthew Barulic, Orlin Velev, Panagiotis Tsiotras, James M. Rehg:
AutoRally An open platform for aggressive autonomous driving. CoRR abs/1806.00678 (2018) - [i17]Eunji Chong, Nataniel Ruiz, Yongxin Wang, Yun Zhang, Agata Rozga, James M. Rehg:
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency. CoRR abs/1807.10437 (2018) - [i16]Meera Hahn, Nataniel Ruiz, Jean-Baptiste Alayrac, Ivan Laptev, James M. Rehg:
Learning to Localize and Align Fine-Grained Actions to Sparse Instructions. CoRR abs/1809.08381 (2018) - [i15]Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg:
Vision-Based High Speed Driving with a Deep Dynamic Observer. CoRR abs/1812.02071 (2018) - [i14]Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger:
Taking a Deeper Look at the Inverse Compositional Algorithm. CoRR abs/1812.06861 (2018) - 2017
- [j31]Kunfeng Wang, Chao Gou, Nanning Zheng, James M. Rehg, Fei-Yue Wang:
Parallel vision for perception and understanding of complex scenes: methods, framework, and perspectives. Artif. Intell. Rev. 48(3): 299-329 (2017) - [j30]Eunji Chong, Katha Chanda, Zhefan Ye, Audrey Southerland, Nataniel Ruiz, Rebecca M. Jones, Agata Rozga, James M. Rehg:
Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 43:1-43:20 (2017) - [j29]Santosh Kumar, Gregory D. Abowd, William T. Abraham, Mustafa al'Absi, Duen Horng Chau, Emre Ertin, Deborah Estrin, Deepak Ganesan, Timothy Hnat, Syed Monowar Hossain, Zachary G. Ives, Jacqueline Kerr, Benjamin M. Marlin, Susan A. Murphy, James M. Rehg, Inbal Nahum-Shani, Vivek Shetty, Ida Sim, Bonnie Spring, Mani B. Srivastava, David W. Wetter:
Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K). IEEE Pervasive Comput. 16(2): 18-22 (2017) - [c133]Eunji Chong, Jaehoon Lee, Matthew K. Hong, James M. Rehg:
Scalable Image-based Search-and-Discovery. CHI Extended Abstracts 2017: 1539-1545 - [c132]Bradley M. Whitaker, Muhammad Rizwan, Varol Burak Aydemir, James M. Rehg, David V. Anderson:
AF Classification from ECG Recording Using Feature Ensemble and Sparse Coding. CinC 2017 - [c131]Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg:
Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control. CoRL 2017: 133-142 - [c130]Eunji Chong, Audrey Southerland, Abhijit Kundu, Rebecca M. Jones, Agata Rozga, James M. Rehg:
Visual 3D tracking of child-adult social interactions. ICDL-EPIROB 2017: 399-406 - [c129]Walter H. Dempsey, Alexander Moreno, Christy K. Scott, Michael L. Dennis, David H. Gustafson, Susan A. Murphy, James M. Rehg:
iSurvive: An Interpretable, Event-time Prediction Model for mHealth. ICML 2017: 970-979 - [c128]Weiyang Liu, Bo Dai, Ahmad Humayun, Charlene Tay, Chen Yu, Linda B. Smith, James M. Rehg, Le Song:
Iterative Machine Teaching. ICML 2017: 2149-2158 - [c127]Grady Williams, Nolan Wagener, Brian Goldfain, Paul Drews, James M. Rehg, Byron Boots, Evangelos A. Theodorou:
Information theoretic MPC for model-based reinforcement learning. ICRA 2017: 1714-1721 - [c126]Yun C. Zhang, Yin Li, James M. Rehg:
First-Person Action Decomposition and Zero-Shot Learning. WACV 2017: 121-129 - [p6]Santosh Kumar, James M. Rehg, Susan A. Murphy:
Introduction to Part I: mHealth Applications and Tools. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 3-6 - [p5]Santosh Kumar, James M. Rehg, Susan A. Murphy:
Introduction to Part II: Sensors to mHealth Markers. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 147-150 - [p4]James M. Rehg, Susan A. Murphy, Santosh Kumar:
Introduction to Part III: Markers to mHealth Predictors. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 345-348 - [p3]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 - [p2]Susan A. Murphy, James M. Rehg, Santosh Kumar:
Introduction to Part IV: Predictors to mHealth Interventions. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 437-441 - [p1]Wendy Nilsen, Emre Ertin, Eric B. Hekler, Santosh Kumar, Insup Lee, Rahul Mangharam, Misha Pavel, James M. Rehg, William T. Riley, Daniel E. Rivera, Donna Spruijt-Metz:
Modeling Opportunities in mHealth Cyber-Physical Systems. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 443-453 - [e6]James M. Rehg, Susan A. Murphy, Santosh Kumar:
Mobile Health - Sensors, Analytic Methods, and Applications. Springer 2017, ISBN 978-3-319-51393-5 [contents] - [i13]Weiyang Liu, Bo Dai, James M. Rehg, Le Song:
Iterative Machine Teaching. CoRR abs/1705.10470 (2017) - [i12]Grady Williams, Paul Drews, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou:
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving. CoRR abs/1707.02342 (2017) - [i11]Grady Williams, Brian Goldfain, Paul Drews, James M. Rehg, Evangelos A. Theodorou:
Autonomous Racing with AutoRally Vehicles and Differential Games. CoRR abs/1707.04540 (2017) - [i10]Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg:
Aggressive Deep Driving: Model Predictive Control with a CNN Cost Model. CoRR abs/1707.05303 (2017) - [i9]Eunji Chong, Christian Nitschke, Atsushi Nakazawa, Agata Rozga, James M. Rehg:
Noninvasive Corneal Image-Based Gaze Measurement System. CoRR abs/1708.00908 (2017) - [i8]Nataniel Ruiz, James M. Rehg:
Dockerface: an easy to install and use Faster R-CNN face detector in a Docker container. CoRR abs/1708.04370 (2017) - [i7]Nataniel Ruiz, Eunji Chong, James M. Rehg:
Fine-Grained Head Pose Estimation Without Keypoints. CoRR abs/1710.00925 (2017) - [i6]Weiyang Liu, Bo Dai, Xingguo Li, James M. Rehg, Le Song:
Towards Black-box Iterative Machine Teaching. CoRR abs/1710.07742 (2017) - 2016
- [c125]Maithilee Kunda, Mohamed El Banani, James M. Rehg:
A Computational Exploration of Problem-Solving Strategies and Gaze Behaviors on the Block Design Task. CogSci 2016 - [c124]Jimeng Sun, Jim Rehg, Suchi Saria, Hua Xu, Eric P. Xing:
Advanced Machine Learning for Healthcare. CRI 2016 - [c123]Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár:
Unsupervised Learning of Edges. CVPR 2016: 1619-1627 - [c122]Andreas Bulling, Ozan Cakmakci, Kai Kunze, James M. Rehg:
EyeWear 2016: first workshop on eyeWear computing. UbiComp Adjunct 2016: 1746-1750 - [c121]Elizabeth M. Clerkin, Elizabeth Hart, James M. Rehg, Chen Yu, Linda B. Smith:
How everyday visual experience prepares the way for learning object names. ICDL-EPIROB 2016: 126-131 - [c120]Grady Williams, Paul Drews, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou:
Aggressive driving with model predictive path integral control. ICRA 2016: 1433-1440 - [i5]Andreas Bulling, Ozan Cakmakci, Kai Kunze, James M. Rehg:
Eyewear Computing - Augmenting the Human with Head-mounted Wearable Assistants (Dagstuhl Seminar 16042). Dagstuhl Reports 6(1): 160-206 (2016) - 2015
- [j28]Santosh Kumar, Gregory D. Abowd, William T. Abraham, Mustafa al'Absi, J. Gayle Beck, Duen Horng Chau, Tyson Condie, David E. Conroy, Emre Ertin, Deborah Estrin, Deepak Ganesan, Cho Lam, Benjamin M. Marlin, Clay B. Marsh, Susan A. Murphy, Inbal Nahum-Shani, Kevin Patrick, James M. Rehg, Moushumi Sharmin, Vivek Shetty, Ida Sim, Bonnie Spring, Mani B. Srivastava, David W. Wetter:
Center of excellence for mobile sensor data-to-knowledge (MD2K). J. Am. Medical Informatics Assoc. 22(6): 1137-1142 (2015) - [j27]Javier Hernandez, Yin Li, James M. Rehg, Rosalind W. Picard:
Cardiac and Respiratory Parameter Estimation Using Head-mounted Motion-sensitive Sensors. EAI Endorsed Trans. Pervasive Health Technol. 1(1): e2 (2015) - [c119]Hrishikesh Rao, Zhefan Ye, Yin Li, Mark A. Clements, Agata Rozga, James M. Rehg:
Combining acoustic and visual features to detect laughter in adults' speech. AVSP 2015: 153-156 - [c118]Yin Li, Zhefan Ye, James M. Rehg:
Delving into egocentric actions. CVPR 2015: 287-295 - [c117]Jia Xu, Lopamudra Mukherjee, Yin Li, Jamieson Warner, James M. Rehg, Vikas Singh:
Gaze-enabled egocentric video summarization via constrained submodular maximization. CVPR 2015: 2235-2244 - [c116]Zhengyang Wu, Fuxin Li, Rahul Sukthankar, James M. Rehg:
Robust video segment proposals with painless occlusion handling. CVPR 2015: 4194-4203 - [c115]Zhefan Ye, Yin Li, Yun Liu, Chanel Bridges, Agata Rozga, James M. Rehg:
Detecting bids for eye contact using a wearable camera. FG 2015: 1-8 - [c114]James M. Rehg:
Behavioral imaging technology for modeling, analyzing, and visualizing social and communicative behavior. UbiComp/ISWC Adjunct 2015: 909-910 - [c113]Ahmad Humayun, Fuxin Li, James M. Rehg:
The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals. ICCV 2015: 1600-1608 - [c112]Arridhana Ciptadi, James M. Rehg:
Minimizing Human Effort in Interactive Tracking by Incremental Learning of Model Parameters. ICCV 2015: 4382-4390 - [c111]Chanho Kim, Fuxin Li, Arridhana Ciptadi, James M. Rehg:
Multiple Hypothesis Tracking Revisited. ICCV 2015: 4696-4704 - [c110]Paolo Rota, Nicola Conci, Nicu Sebe, James M. Rehg:
Real-life violent social interaction detection. ICIP 2015: 3456-3460 - [c109]Florian Hauer, Abhijit Kundu, James M. Rehg, Panagiotis Tsiotras:
Multi-scale perception and path planning on probabilistic obstacle maps. ICRA 2015: 4210-4215 - [c108]Tapomayukh Bhattacharjee, Ashwin A. Shenoi, Daehyung Park, James M. Rehg, Charles C. Kemp:
Combining tactile sensing and vision for rapid haptic mapping. IROS 2015: 1200-1207 - [c107]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 - [i4]Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár:
Unsupervised Learning of Edges. CoRR abs/1511.04166 (2015) - 2014
- [j26]James M. Rehg, Agata Rozga, Gregory D. Abowd, Matthew S. Goodwin:
Behavioral Imaging and Autism. IEEE Pervasive Comput. 13(2): 84-87 (2014) - [c106]Yin Li, Xiaodi Hou, Christof Koch, James M. Rehg, Alan L. Yuille:
The Secrets of Salient Object Segmentation. CVPR 2014: 280-287 - [c105]Ahmad Humayun, Fuxin Li, James M. Rehg:
RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions. CVPR 2014: 336-343 - [c104]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 - [c103]Arridhana Ciptadi, Matthew S. Goodwin, James M. Rehg:
Movement Pattern Histogram for Action Recognition and Retrieval. ECCV (2) 2014: 695-710 - [c102]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 - [c101]Daehyung Park, Ariel Kapusta, You Keun Kim, James M. Rehg, Charles C. Kemp:
Learning to reach into the unknown: Selecting initial conditions when reaching in clutter. IROS 2014: 630-637 - [c100]Javier Hernandez, Yin Li, James M. Rehg, Rosalind W. Picard:
BioGlass: Physiological parameter estimation using a head-mounted wearable device. MobiHealth 2014: 55-58 - [i3]Yin Li, Xiaodi Hou, Christof Koch, James M. Rehg, Alan L. Yuille:
The Secrets of Salient Object Segmentation. CoRR abs/1406.2807 (2014) - [i2]Tapomayukh Bhattacharjee, James M. Rehg, Charles C. Kemp:
Inferring Object Properties from Incidental Contact with a Tactile Sensing Forearm. CoRR abs/1409.4972 (2014) - 2013
- [j25]James M. Rehg:
Finding people in depth: technical perspective. Commun. ACM 56(1): 115 (2013) - [j24]Jianxin Wu, Nini Liu, Christopher Geyer, James M. Rehg:
${\rm C}^{4}$: A Real-Time Object Detection Framework. IEEE Trans. Image Process. 22(10): 4096-4107 (2013) - [j23]Yushi Jing, Michele Covell, David Tsai, James M. Rehg:
Learning Query-Specific Distance Functions for Large-Scale Web Image Search. IEEE Trans. Multim. 15(8): 2022-2034 (2013) - [j22]Matthew Flagg, James M. Rehg:
Video-Based Crowd Synthesis. IEEE Trans. Vis. Comput. Graph. 19(11): 1935-1947 (2013) - [c99]Arridhana Ciptadi, Tucker Hermans, James M. Rehg:
An In Depth View of Saliency. BMVC 2013 - [c98]Alireza Fathi, James M. Rehg:
Modeling Actions through State Changes. CVPR 2013: 2579-2586 - [c97]James M. Rehg, Gregory D. Abowd, Agata Rozga, Mario Romero, Mark A. Clements, Stan Sclaroff, Irfan A. Essa, Opal Y. Ousley, Yin Li, Chanho Kim, Hrishikesh Rao, Jonathan C. Kim, Liliana Lo Presti, Jianming Zhang, Denis Lantsman, Jonathan Bidwell, Zhefan Ye:
Decoding Children's Social Behavior. CVPR 2013: 3414-3421 - [c96]Douglas C. MacKenzie, Rahul Ashok, James M. Rehg, Gary Witus:
Development of dog-like retrieving capability in a ground robot. Intelligent Robots and Computer Vision: Algorithms and Techniques 2013: 86620M - [c95]Fuxin Li, Taeyoung Kim, Ahmad Humayun, David Tsai, James M. Rehg:
Video Segmentation by Tracking Many Figure-Ground Segments. ICCV 2013: 2192-2199 - [c94]Yin Li, Alireza Fathi, James M. Rehg:
Learning to Predict Gaze in Egocentric Video. ICCV 2013: 3216-3223 - [c93]Jia Xu, Vamsi K. Ithapu, Lopamudra Mukherjee, James M. Rehg, Vikas Singh:
GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity. ICCV 2013: 3376-3383 - [c92]Tucker Hermans, Fuxin Li, James M. Rehg, Aaron F. Bobick:
Learning stable pushing locations. ICDL-EPIROB 2013: 1-7 - [c91]James M. Rehg:
Behavior imaging and the study of autism. ICMI 2013: 1-2 - [c90]Tucker Hermans, James M. Rehg, Aaron F. Bobick:
Decoupling behavior, perception, and control for autonomous learning of affordances. ICRA 2013: 4989-4996 - [c89]Yu-Ying Liu, Hiroshi Ishikawa, Mei Chen, Gadi Wollstein, Joel S. Schuman, James M. Rehg:
Longitudinal Modeling of Glaucoma Progression Using 2-Dimensional Continuous-Time Hidden Markov Model. MICCAI (2) 2013: 444-451 - [e5]Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, Zhanyi Hu:
Computer Vision - ACCV 2012 - 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part I. Lecture Notes in Computer Science 7724, Springer 2013, ISBN 978-3-642-37330-5 [contents] - [e4]Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, Zhanyi Hu:
Computer Vision - ACCV 2012, 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part II. Lecture Notes in Computer Science 7725, Springer 2013, ISBN 978-3-642-37443-2 [contents] - [e3]Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, Zhanyi Hu:
Computer Vision - ACCV 2012 - 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part III. Lecture Notes in Computer Science 7726, Springer 2013, ISBN 978-3-642-37430-2 [contents] - [e2]Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, Zhanyi Hu:
Computer Vision - ACCV 2012, 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part IV. Lecture Notes in Computer Science 7727, Springer 2013, ISBN 978-3-642-37446-3 [contents] - [i1]Atsushi Nakazawa, James M. Rehg, Yoichi Sato, Akihiro Sugimoto:
First International Symposium on Computer Behavioral Science (NII Shonan Meeting 2013-9). NII Shonan Meet. Rep. 2013 (2013) - 2012
- [j21]David Tsai, Matthew Flagg, Atsushi Nakazawa, James M. Rehg:
Motion Coherent Tracking Using Multi-label MRF Optimization. Int. J. Comput. Vis. 100(2): 190-202 (2012) - [c88]Alireza Fathi, Jessica K. Hodgins, James M. Rehg:
Social interactions: A first-person perspective. CVPR 2012: 1226-1233 - [c87]Liwei Wang, Yin Li, Jiaya Jia, Jian Sun, David P. Wipf, James M. Rehg:
Learning sparse covariance patterns for natural scenes. CVPR 2012: 2767-2774 - [c86]Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan A. Essa, James M. Rehg, Rahul Sukthankar:
Weakly Supervised Learning of Object Segmentations from Web-Scale Video. ECCV Workshops (1) 2012: 198-208 - [c85]Alireza Fathi, Yin Li, James M. Rehg:
Learning to Recognize Daily Actions Using Gaze. ECCV (1) 2012: 314-327 - [c84]Karthir Prabhakar, James M. Rehg:
Categorizing Turn-Taking Interactions. ECCV (5) 2012: 383-396 - [c83]Zhefan Ye, Yin Li, Alireza Fathi, Yi Han, Agata Rozga, Gregory D. Abowd, James M. Rehg:
Detecting eye contact using wearable eye-tracking glasses. UbiComp 2012: 699-704 - [c82]Tapomayukh Bhattacharjee, James M. Rehg, Charles C. Kemp:
Haptic classification and recognition of objects using a tactile sensing forearm. IROS 2012: 4090-4097 - [c81]Tucker Hermans, James M. Rehg, Aaron F. Bobick:
Guided pushing for object singulation. IROS 2012: 4783-4790 - [c80]Yu-Ying Liu, Hiroshi Ishikawa, Mei Chen, Gadi Wollstein, Joel S. Schuman, James M. Rehg:
Automated Foveola Localization in Retinal 3D-OCT Images Using Structural Support Vector Machine Prediction. MICCAI (1) 2012: 307-314 - 2011
- [j20]Jianxin Wu, Wei-Chian Tan, James M. Rehg:
Efficient and Effective Visual Codebook Generation Using Additive Kernels. J. Mach. Learn. Res. 12: 3097-3118 (2011) - [j19]Yu-Ying Liu, Mei Chen, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, James M. Rehg:
Automated macular pathology diagnosis in retinal OCT images using multi-scale spatial pyramid and local binary patterns in texture and shape encoding. Medical Image Anal. 15(5): 748-759 (2011) - [j18]Jianxin Wu, James M. Rehg:
CENTRIST: A Visual Descriptor for Scene Categorization. IEEE Trans. Pattern Anal. Mach. Intell. 33(8): 1489-1501 (2011) - [c79]Alireza Fathi, Maria-Florina Balcan, Xiaofeng Ren, James M. Rehg:
Combining Self Training and Active Learning for Video Segmentation. BMVC 2011: 1-11 - [c78]Alireza Fathi, Xiaofeng Ren, James M. Rehg:
Learning to recognize objects in egocentric activities. CVPR 2011: 3281-3288 - [c77]Alireza Fathi, Ali Farhadi, James M. Rehg:
Understanding egocentric activities. ICCV 2011: 407-414 - [c76]David Tsai, Yushi Jing, Yi Liu, Henry A. Rowley, Sergey Ioffe, James M. Rehg:
Large-scale image annotation using visual synset. ICCV 2011: 611-618 - [c75]Jianxin Wu, Christopher Geyer, James M. Rehg:
Real-time human detection using contour cues. ICRA 2011: 860-867 - [c74]James M. Rehg:
Behavior Imaging: Using Computer Vision to Study Autism. MVA 2011: 14-21 - 2010
- [j17]Jie Sun, Joshua L. Moore, Aaron F. Bobick, James M. Rehg:
Learning Visual Object Categories for Robot Affordance Prediction. Int. J. Robotics Res. 29(2-3): 174-197 (2010) - [c73]David Tsai, Matthew Flagg, James M. Rehg:
Motion Coherent Tracking with Multi-label MRF optimization. BMVC 2010: 1-11 - [c72]Karthir Prabhakar, Sang Min Oh, Ping Wang, Gregory D. Abowd, James M. Rehg:
Temporal causality for the analysis of visual events. CVPR 2010: 1967-1974 - [c71]Martin J. Schuster, Jason Okerman, Hai Nguyen, James M. Rehg, Charles C. Kemp:
Perceiving clutter and surfaces for object placement in indoor environments. Humanoids 2010: 152-159 - [c70]Howard Zhou, James M. Rehg, Mei Chen:
Exemplar-based segmentation of pigmented skin lesions from dermoscopy images. ISBI 2010: 225-228 - [c69]Yu-Ying Liu, Mei Chen, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, James M. Rehg:
Automated Macular Pathology Diagnosis in Retinal OCT Images Using Multi-Scale Spatial Pyramid with Local Binary Patterns. MICCAI (1) 2010: 1-9 - [c68]Howard Zhou, Tucker Hermans, Asmita V. Karandikar, James M. Rehg:
Movie genre classification via scene categorization. ACM Multimedia 2010: 747-750 - [c67]Aleksandar Matic, Priyal Mehta, James M. Rehg, Venet Osmani, Oscar Mayora:
AID-ME: Automatic identification of dressing failures through monitoring of patients and activity Evaluation. PervasiveHealth 2010: 1-8
2000 – 2009
- 2009
- [c66]Pei Yin, Thad Starner, Harley Hamilton, Irfan A. Essa, James M. Rehg:
Learning the basic units in American Sign Language using discriminative segmental feature selection. ICASSP 2009: 4757-4760 - [c65]Ping Wang, Gregory D. Abowd, James M. Rehg:
Quasi-periodic event analysis for social game retrieval. ICCV 2009: 112-119 - [c64]Jianxin Wu, James M. Rehg:
Beyond the Euclidean distance: Creating effective visual codebooks using the Histogram Intersection Kernel. ICCV 2009: 630-637 - [c63]Jianxin Wu, Henrik I. Christensen, James M. Rehg:
Visual Place Categorization: Problem, dataset, and algorithm. IROS 2009: 4763-4770 - [c62]Howard Zhou, Mei Chen, James M. Rehg:
Dermoscopic Interest Point Detector and Descriptor. ISBI 2009: 1318-1321 - [c61]Matthew Flagg, Atsushi Nakazawa, Qiushuang Zhang, Sing Bing Kang, Young Kee Ryu, Irfan A. Essa, James M. Rehg:
Human video textures. SI3D 2009: 199-206 - 2008
- [j16]S. Charles Brubaker, Jianxin Wu, Jie Sun, Matthew D. Mullin, James M. Rehg:
On the Design of Cascades of Boosted Ensembles for Face Detection. Int. J. Comput. Vis. 77(1-3): 65-86 (2008) - [j15]Sang Min Oh, James M. Rehg, Tucker R. Balch, Frank Dellaert:
Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems. Int. J. Comput. Vis. 77(1-3): 103-124 (2008) - [j14]Yushi Jing, Vladimir Pavlovic, James M. Rehg:
Boosted Bayesian network classifiers. Mach. Learn. 73(2): 155-184 (2008) - [j13]Jianxin Wu, S. Charles Brubaker, Matthew D. Mullin, James M. Rehg:
Fast Asymmetric Learning for Cascade Face Detection. IEEE Trans. Pattern Anal. Mach. Intell. 30(3): 369-382 (2008) - [c60]Jianxin Wu, James M. Rehg:
Where am I: Place instance and category recognition using spatial PACT. CVPR 2008 - [c59]Pei Yin, Irfan A. Essa, Thad Starner, James M. Rehg:
Discriminative feature selection for hidden Markov models using Segmental Boosting. ICASSP 2008: 2001-2004 - [c58]Wooyoung Kim, James M. Rehg:
Detection of Unnatural Movement Using Epitomic Analysis. ICMLA 2008: 271-276 - [c57]Howard Zhou, Mei Chen, Le Zou, Richard Gass, Laura Ferris, Laura Drogowski, James M. Rehg:
Spatially constrained segmentation of dermoscopy images. ISBI 2008: 800-803 - [c56]Howard Zhou, Mei Chen, Richard Gass, James M. Rehg, Laura Ferris, Jonhan Ho, Laura Drogowski:
Feature-preserving artifact removal from dermoscopy images. Image Processing 2008: 69141B - [e1]Steven Feiner, Jim Rehg, Antonio Krüger:
2nd International Conference on INtelligent TEchnologies for interactive enterTAINment, INTETAIN 2008, Cancun, Mexico, January 8-10, 2008. ICST/ACM 2008, ISBN 978-963-9799-13-4 [contents] - 2007
- [j12]Jay Summet, Matthew Flagg, Tat-Jen Cham, James M. Rehg, Rahul Sukthankar:
Shadow Elimination and Blinding Light Suppression for Interactive Projected Displays. IEEE Trans. Vis. Comput. Graph. 13(3): 508-517 (2007) - [j11]Howard Zhou, Jie Sun, Greg Turk, James M. Rehg:
Terrain Synthesis from Digital Elevation Models. IEEE Trans. Vis. Comput. Graph. 13(4): 834-848 (2007) - [c55]Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, Matthai Philipose, James M. Rehg:
A Scalable Approach to Activity Recognition based on Object Use. ICCV 2007: 1-8 - [c54]Dongshin Kim, Sang Min Oh, James M. Rehg:
Traversability classification for UGV navigation: a comparison of patch and superpixel representations. IROS 2007: 3166-3173 - [c53]Ping Wang, Dongryeol Lee, Alexander G. Gray, James M. Rehg:
Fast Mean Shift with Accurate and Stable Convergence. AISTATS 2007: 604-611 - 2006
- [j10]Jie Sun, Tejas R. Mehta, David Wooden, Matthew Powers, James M. Rehg, Tucker R. Balch, Magnus Egerstedt:
Learning from examples in unstructured, outdoor environments. J. Field Robotics 23(11-12): 1019-1036 (2006) - [c52]S. Charles Brubaker, Jianxin Wu, Jie Sun, Matthew D. Mullin, James M. Rehg:
Towards the Optimal Training of Cascades of Boosted Ensembles. Toward Category-Level Object Recognition 2006: 301-320 - [c51]Ping Wang, James M. Rehg:
A Modular Approach to the Analysis and Evaluation of Particle Filters for Figure Tracking. CVPR (1) 2006: 790-797 - [c50]Sang Min Oh, James M. Rehg, Frank Dellaert:
Parameterized Duration Mmodeling for Switching Linear Dynamic Systems. CVPR (2) 2006: 1694-1700 - [c49]S. Charles Brubaker, Matthew D. Mullin, James M. Rehg:
Towards Optimal Training of Cascaded Detectors. ECCV (1) 2006: 325-337 - [c48]Dongshin Kim, Jie Sun, Sang Min Oh, James M. Rehg, Aaron F. Bobick:
Traversability Classification using Unsupervised on-line Visual Learning for Outdoor Robot Navigation. ICRA 2006: 518-525 - [c47]Jay Summet, Matthew Flagg, James M. Rehg, Gregory D. Abowd, Neil Weston:
GVU-PROCAMS: enabling novel projected interfaces. ACM Multimedia 2006: 141-144 - [c46]Matthew Flagg, James M. Rehg:
Projector-guided painting. UIST 2006: 235-244 - 2005
- [j9]Yavor Angelov, Umakishore Ramachandran, Kenneth M. Mackenzie, James M. Rehg, Irfan A. Essa:
Experiences with optimizing two stream-based applications for cluster execution. J. Parallel Distributed Comput. 65(6): 678-691 (2005) - [j8]Liu Ren, Alton Patrick, Alexei A. Efros, Jessica K. Hodgins, James M. Rehg:
A data-driven approach to quantifying natural human motion. ACM Trans. Graph. 24(3): 1090-1097 (2005) - [c45]Sang Min Oh, James M. Rehg, Tucker R. Balch, Frank Dellaert:
Data-Driven MCMC for Learning and Inference in Switching Linear Dynamic Systems. AAAI 2005: 944-949 - [c44]Jay Summet, Gregory D. Abowd, Gregory M. Corso, James M. Rehg:
Virtual rear projection: do shadows matter? CHI Extended Abstracts 2005: 1997-2000 - [c43]Matthew Flagg, Jay Summet, James M. Rehg:
Improving the Speed of Virtual Rear Projection: A GPU-Centric Architecture. CVPR Workshops 2005: 105 - [c42]Sang Min Oh, James M. Rehg, Tucker R. Balch, Frank Dellaert:
Learning and Inference in Parametric Switching Linear Dynamical Systems. ICCV 2005: 1161-1168 - [c41]Yushi Jing, Vladimir Pavlovic, James M. Rehg:
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes. ICML 2005: 369-376 - [c40]Jianxin Wu, Matthew D. Mullin, James M. Rehg:
Linear Asymmetric Classifier for cascade detectors. ICML 2005: 988-995 - [c39]Xuehai Bian, Gregory D. Abowd, James M. Rehg:
Using Sound Source Localization in a Home Environment. Pervasive 2005: 19-36 - 2004
- [c38]Mark Ashdown, Matthew Flagg, Rahul Sukthankar, James M. Rehg:
A Flexible Projector-Camera System for Multi-Planar Displays. CVPR (2) 2004: 165-172 - [c37]Jie Sun, James M. Rehg, Aaron F. Bobick:
Automatic Cascade Training with Perturbation Bias. CVPR (2) 2004: 276-283 - [c36]Pei Yin, Irfan A. Essa, James M. Rehg:
Asymmetrically Boosted HMM for Speech Reading. CVPR (2) 2004: 755-761 - [c35]Xiang Song, Namgeun Jeong, Phillip W. Hutto, Umakishore Ramachandran, James M. Rehg:
State Management in Web Services. FTDCS 2004: 21-27 - [c34]James F. Bowring, James M. Rehg, Mary Jean Harrold:
Active learning for automatic classification of software behavior. ISSTA 2004: 195-205 - 2003
- [j7]James M. Rehg, Daniel D. Morris, Takeo Kanade:
Ambiguities in Visual Tracking of Articulated Objects Using Two- and Three-Dimensional Models. Int. J. Robotics Res. 22(6): 393-418 (2003) - [j6]James M. Rehg, Vladimir Pavlovic, Thomas S. Huang, William T. Freeman:
Guest Editors' Introduction to the Special Section on Graphical Models in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 25(7): 785-786 (2003) - [j5]Ashutosh Garg, Vladimir Pavlovic, James M. Rehg:
Boosted learning in dynamic Bayesian networks for multimodal speaker detection. Proc. IEEE 91(9): 1355-1369 (2003) - [j4]Umakishore Ramachandran, Rishiyur S. Nikhil, James M. Rehg, Yavor Angelov, Arnab Paul, Sameer Adhikari, Kenneth M. Mackenzie, Nissim Harel, Kathleen Knobe:
Stampede: A Cluster Programming Middleware for Interactive Stream-Oriented Applications. IEEE Trans. Parallel Distributed Syst. 14(11): 1140-1154 (2003) - [c33]Pei Yin, Irfan A. Essa, James M. Rehg:
Boosted Audio-Visual HMM for Speech Reading. AMFG 2003: 68-73 - [c32]Tat-Jen Cham, James M. Rehg, Rahul Sukthankar, Gita Sukthankar:
Shadow Elimination and Occluder Light Suppression for Multi-Projector Displays. CVPR (2) 2003: 513-520 - [c31]Jianxin Wu, James M. Rehg, Matthew D. Mullin:
Learning a Rare Event Detection Cascade by Direct Feature Selection. NIPS 2003: 1523-1530 - 2002
- [j3]Michael J. Jones, James M. Rehg:
Statistical Color Models with Application to Skin Detection. Int. J. Comput. Vis. 46(1): 81-96 (2002) - [c30]James M. Rehg, Matthew Flagg, Tat-Jen Cham, Rahul Sukthankar, Gita Sukthankar:
Projected light displays using visual feedback. ICARCV 2002: 926-932 - [c29]Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovic, Alex Pentland:
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection. ICPR (3) 2002: 789- - 2001
- [c28]David E. DiFranco, Tat-Jen Cham, James M. Rehg:
Reconstruction of 3-D Figure Motion from 2-D Correspondences. CVPR (1) 2001: I:307-314 - [c27]Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar, James M. Rehg, David Hsu, Thomas Leung:
Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations. ICCV 2001: 748 - [c26]Ulrich Kremer, Jamey Hicks, James M. Rehg:
A Compilation Framework for Power and Energy Management on Mobile Computers. LCPC 2001: 115-131 - 2000
- [c25]Vladimir Pavlovic, James M. Rehg:
Impact of Dynamic Model Learning on Classification of Human Motion. CVPR 2000: 1788-1795 - [c24]Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, Thomas S. Huang:
Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks. CVPR 2000: 2034- - [c23]Ashutosh Garg, Vladimir Pavlovic, James M. Rehg:
Audio-Visual Speaker Detection Using Dynamic Bayesian Networks. FG 2000: 384-390 - [c22]Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham:
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models. HSCC 2000: 366-380 - [c21]James M. Rehg, Sing Bing Kang, Tat-Jen Cham:
Video Editing Using Figure Tracking and Image-Based Rendering. ICIP 2000: 17-20 - [c20]Vladimir Pavlovic, Ashutosh Garg, James M. Rehg:
Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks. ICMI 2000: 308-316 - [c19]Vladimir Pavlovic, James M. Rehg, John MacCormick:
Learning Switching Linear Models of Human Motion. NIPS 2000: 981-987
1990 – 1999
- 1999
- [j2]James M. Rehg, Kathleen Knobe, Umakishore Ramachandran, Rishiyur S. Nikhil, Arun Chauhan:
Integrated task and data parallel support for dynamic applications. Sci. Program. 7(3-4): 289-302 (1999) - [c18]Michael J. Jones, James M. Rehg:
Statistical Color Models with Application to Skin Detection. CVPR 1999: 1274-1280 - [c17]James M. Rehg, Kevin P. Murphy, Paul W. Fieguth:
Vision-Based Speaker Detection Using Bayesian Networks. CVPR 1999: 2110-2116 - [c16]Tat-Jen Cham, James M. Rehg:
A Multiple Hypothesis Approach to Figure Tracking. CVPR 1999: 2239-2245 - [c15]Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Kevin P. Murphy:
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models. ICCV 1999: 94-101 - [c14]Tat-Jen Cham, James M. Rehg:
Dynamic Feature Ordering for Efficient Registration. ICCV 1999: 1084-1091 - [c13]Umakishore Ramachandran, Rishiyur S. Nikhil, Nissim Harel, James M. Rehg, Kathleen Knobe:
Space-Time Memory: A Parallel Programming Abstraction for Interactive Multimedia Applications. PPoPP 1999: 183-192 - [c12]Kathleen Knobe, James M. Rehg, Arun Chauhan, Rishiyur S. Nikhil, Umakishore Ramachandran:
Scheduling Constrained Dynamic Applications on Clusters. SC 1999: 46 - 1998
- [c11]Daniel D. Morris, James M. Rehg:
Singularity Analysis for Articulated Object Tracking. CVPR 1998: 289-296 - [c10]Rishiyur S. Nikhil, Umakishore Ramachandran, James M. Rehg, Robert H. Halstead Jr., Christopher F. Joerg, Leonidas I. Kontothanassis:
Stampede: A Programming System for Emerging Scalable Interactive Multimedia Applications. LCPC 1998: 83-99 - [c9]James M. Rehg, Kathleen Knobe, Umakishore Ramachandran, Rishiyur S. Nikhil, Arun Chauhan:
Integrated Task and Data Parallel Support for Dynamic Applications. LCR 1998: 167-180 - 1997
- [c8]James M. Rehg, Maria Loughlin, Keith Waters:
Vision for a smart kiosk. CVPR 1997: 690-696 - [c7]Henry A. Rowley, James M. Rehg:
Analyzing Articulated Motion Using Expectation-Maximization. CVPR 1997: 935-941 - 1995
- [c6]James M. Rehg, Takeo Kanade:
Model-Based Tracking of Self-Occluding Articulated Objects. ICCV 1995: 612-617 - 1994
- [c5]James M. Rehg, Takeo Kanade:
Visual Tracking of High DOF Articulated Structures: an Application to Human Hand Tracking. ECCV (2) 1994: 35-46 - 1993
- [j1]Ingemar J. Cox, James M. Rehg, Sunita L. Hingorani:
A Bayesian multiple-hypothesis approach to edge grouping and contour segmentation. Int. J. Comput. Vis. 11(1): 5-24 (1993) - [c4]Ingemar J. Cox, James M. Rehg, Sunita L. Hingorani, Matthew L. Miller:
Grouping Edges: An Efficient Bayesian Multiple Hypothesis Approach. Partitioning Data Sets 1993: 199-235 - 1992
- [c3]Ingemar J. Cox, James M. Rehg, Sunita L. Hingorani:
A Bayesian Multiple Hypothesis Approach to Contour Grouping. ECCV 1992: 72-77 - 1991
- [c2]James M. Rehg, Andrew P. Witkin:
Visual tracking with deformation models. ICRA 1991: 844-850
1980 – 1989
- 1988
- [c1]Sarosh Talukdar, James M. Rehg, Rob Woodbury, Alberto Elfes:
Upgrading Design Systems. AAAI 1988: 336-341
Coauthor Index
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last updated on 2025-07-07 21:15 CEST by the dblp team
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