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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
- 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)- [c182]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 - [c181]Meera Hahn, Amit Raj, James M. Rehg:
Which way is 'right'?: Uncovering limitations of Vision-and-Language Navigation Models. AAMAS 2023: 2415-2417 - [c180]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 - [c179]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 - [c178]Fiona Ryan, Hao Jiang, Abhinav Shukla, James M. Rehg, Vamsi Krishna Ithapu:
Egocentric Auditory Attention Localization in Conversations. CVPR 2023: 14663-14674 - [i60]Fiona Ryan, Hao Jiang, Abhinav Shukla, James M. Rehg, Vamsi Krishna Ithapu:
Egocentric Auditory Attention Localization in Conversations. CoRR abs/2303.16024 (2023) - [i59]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) - [i58]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) - [i57]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) - 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 Arbelaez, 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, 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:
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