James M. Rehg

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 148

Top Venues

CoRR

CVPR

NeurIPS

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Publications

Sangmin Lee, Bolin Lai, Fiona Ryan, Bikram Boote, James M. Rehg
Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations. CoRR (2024)
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 (2024)
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 (2024)
Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, Matt Feiszli, James M. Rehg
3x2: 3D Object Part Segmentation by 2D Semantic Correspondences. CoRR (2024)
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 (2024)
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) (2024)
Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu
PointInfinity: Resolution-Invariant Point Diffusion Models. CoRR (2024)
Anh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang, Bikram Boote, James M. Rehg
Low-shot Object Learning with Mutual Exclusivity Bias. CoRR (2023)
Maxwell A. Xu, Alexander Moreno, Hui Wei, Benjamin M. Marlin, James M. Rehg
Retrieval-Based Reconstruction For Time-series Contrastive Learning. CoRR (2023)
Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg
ZeroShape: Regression-based Zero-shot Shape Reconstruction. CoRR (2023)
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 (2023)
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)
Supriya Nagesh, Nina Mishra, Yonatan Naamad, James M. Rehg, Mehul A. Shah, Alexei Wagner
Explaining a machine learning decision to physicians via counterfactuals. CoRR (2023)
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)
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 (2023)
Fiona Ryan, Hao Jiang, Abhinav Shukla, James M. Rehg, Vamsi Krishna Ithapu
Egocentric Auditory Attention Localization in Conversations. CVPR (2023)
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)
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 (2023)
Anh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang, Bikram Boote, James M. Rehg
Low-shot Object Learning with Mutual Exclusivity Bias. NeurIPS (2023)
Meera Hahn, Amit Raj, James M. Rehg
Which way is `right'?: Uncovering limitations of Vision-and-Language Navigation model. CoRR (2023)
Bolin Lai, Fiona Ryan, Wenqi Jia, Miao Liu, James M. Rehg
Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation. CoRR (2023)
Meera Hahn, Amit Raj, James M. Rehg
Which way is 'right'?: Uncovering limitations of Vision-and-Language Navigation Models. AAMAS (2023)
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 (2023)
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) (2023)
Bolin Lai, Xiaoliang Dai, Lawrence Chen, Guan Pang, James M. Rehg, Miao Liu
LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning. CoRR (2023)
Fiona Ryan, Hao Jiang, Abhinav Shukla, James M. Rehg, Vamsi Krishna Ithapu
Egocentric Auditory Attention Localization in Conversations. CoRR (2023)
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 (2022)
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)
Stefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization. CoRR (2022)
Wenqi Jia, Miao Liu, James M. Rehg
Generative Adversarial Network for Future Hand Segmentation from Egocentric Video. ECCV (13) (2022)
Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg
Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues. CoRR (2022)
Bolin Lai, Hongxin Zhang, Miao Liu, Aryan 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 (2022)
Wenqi Jia, Miao Liu, James M. Rehg
Generative Adversarial Network for Future Hand Segmentation from Egocentric Video. CoRR (2022)
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) (2022)
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)
Stefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization. NeurIPS (2022)
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) (2022)
Meera Hahn, James M. Rehg
Transformer-based Localization from Embodied Dialog with Large-scale Pre-training. AACL/IJCNLP (2) (2022)
Bolin Lai, Miao Liu, Fiona Ryan, James M. Rehg
In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation. CoRR (2022)
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)
Bolin Lai, Miao Liu, Fiona Ryan, James M. Rehg
In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation. BMVC (2022)
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)
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) (2022)
Alexander Moreno, Zhenke Wu, Supriya Nagesh, Walter H. Dempsey, James M. Rehg
Kernel Multimodal Continuous Attention. NeurIPS (2022)
Meera Hahn, James M. Rehg
Transformer-based Localization from Embodied Dialog with Large-scale Pre-training. CoRR (2022)
Anh Thai, Stefan Stojanov, Zixuan Huang, James M. Rehg
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction. 3DV (2022)
Stefan Stojanov, Anh Thai, James M. Rehg
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias. CoRR (2021)
Anh Thai, Stefan Stojanov, Isaac Rehg, James M. Rehg
Does Continual Learning = Catastrophic Forgetting? CoRR (2021)
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)
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 (2021)
Stefan Stojanov, Anh Thai, James M. Rehg
Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias. CVPR (2021)
Keuntaek Lee, Bogdan I. Vlahov, Jason Gibson, James M. Rehg, Evangelos A. Theodorou
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning. ICRA (2021)
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 (2021)
Chanho Kim, Fuxin Li, Mazen Alotaibi, James M. Rehg
Discriminative Appearance Modeling with Multi-track Pooling for Real-time Multi-object Tracking. CoRR (2021)
Meera Hahn, Devendra Singh Chaplot, Shubham Tulsiani, Mustafa Mukadam, James M. Rehg, Abhinav Gupta
No RL, No Simulation: Learning to Navigate without Navigating. CoRR (2021)
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)
Shivam Khare, Kun Cao, James M. Rehg
Unsupervised Class-Incremental Learning Through Confusion. CoRR (2021)
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 (2021)
Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller
Orthogonal Over-Parameterized Training. CVPR (2021)
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 Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, 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 Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, 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
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR (2021)
Alexander Moreno, Supriya Nagesh, Zhenke Wu, Walter H. Dempsey, James M. Rehg
Kernel Deformed Exponential Families for Sparse Continuous Attention. CoRR (2021)
Anh Thai, Stefan Stojanov, Vijay Upadhya, James M. Rehg
3D Reconstruction of Novel Object Shapes from Single Images. 3DV (2021)
Chanho Kim, Fuxin Li, Mazen Alotaibi, James M. Rehg
Discriminative Appearance Modeling With Multi-Track Pooling for Real-Time Multi-Object Tracking. CVPR (2021)
Meera Hahn, Asim Kadav, James M. Rehg, Hans Peter Graf
Tripping through time: Efficient Localization of Activities in Videos. BMVC (2020)
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 (2020)
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) (2020)
Meera Hahn, Jacob Krantz, Dhruv Batra, Devi Parikh, James M. Rehg, Stefan Lee, Peter Anderson
Where Are You? Localization from Embodied Dialog. CoRR (2020)
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)
Anh Thai, Stefan Stojanov, Vijay Upadhya, James M. Rehg
3D Reconstruction of Novel Object Shapes from Single Images. CoRR (2020)
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) (2020)
Miao Liu, Xin Chen, Yun Zhang, Yin Li, James M. Rehg
Attention Distillation for Learning Video Representations. BMVC (2020)
Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song
Orthogonal Over-Parameterized Training. CoRR (2020)
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)
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) (2020)
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)
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)
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 (2020)
Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg
Detecting Attended Visual Targets in Video. CVPR (2020)
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)
Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg
Detecting Attended Visual Targets in Video. CoRR (2020)
Yin Li, Miao Liu, James M. Rehg
In the Eye of the Beholder: Gaze and Actions in First Person Video. CoRR (2020)
Yun C. Zhang, Shibo Zhang, Miao Liu, Elyse Daly, Samuel 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) (2020)
Keuntaek Lee, Bogdan I. Vlahov, Jason Gibson, James M. Rehg, Evangelos A. Theodorou
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning. CoRR (2020)
Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger
Taking a Deeper Look at the Inverse Compositional Algorithm. CVPR (2019)
Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song
Compressive Hyperspherical Energy Minimization. CoRR (2019)
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 (2019)
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)
Meera Hahn, Andrew Silva, James M. Rehg
Action2Vec: A Crossmodal Embedding Approach to Action Learning. CoRR (2019)
Meera Hahn, Asim Kadav, James M. Rehg, Hans Peter Graf
Tripping through time: Efficient Localization of Activities in Videos. CoRR (2019)
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)
Miao Liu, Siyu Tang, Yin Li, James M. Rehg
Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Egocentric Activity. CoRR (2019)
Weiyang Liu, Zhen Liu, James M. Rehg, Le Song
Neural Similarity Learning. CoRR (2019)
Brandon M. Smith, Visesh Chari, Amit Agrawal, James M. Rehg, Ram Sever
Towards Accurate 3D Human Body Reconstruction from Silhouettes. 3DV (2019)
Grady Williams, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics. CoRR (2019)
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)
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 (2019)
Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari
Learning to Generate Synthetic Data via Compositing. CoRR (2019)
Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari
Learning to Generate Synthetic Data via Compositing. CVPR (2019)
Miao Liu, Xin Chen, Yun Zhang, Yin Li, James M. Rehg
Paying More Attention to Motion: Attention Distillation for Learning Video Representations. CoRR (2019)
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) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

James M. Rehg