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Discriminative Appearance Modeling with Multi-track Pooling for Real-time Multi-object Tracking


Jan 28, 2021
Chanho Kim, Li Fuxin, Mazen Alotaibi, James M. Rehg


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Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias


Jan 18, 2021
Stefan Stojanov, Anh Thai, James M. Rehg

* Project page, code and data available at https://rehg-lab.github.io/publication-pages/lowshot-shapebias/ 

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Does Continual Learning = Catastrophic Forgetting?


Jan 18, 2021
Anh Thai, Stefan Stojanov, Isaac Rehg, James M. Rehg


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4D Human Body Capture from Egocentric Video via 3D Scene Grounding


Nov 26, 2020
Miao Liu, Dexin Yang, Yan Zhang, Zhaopeng Cui, James M. Rehg, Siyu Tang


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Where Are You? Localization from Embodied Dialog


Nov 16, 2020
Meera Hahn, Jacob Krantz, Dhruv Batra, Devi Parikh, James M. Rehg, Stefan Lee, Peter Anderson

* EMNLP 2020 

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3D Reconstruction of Novel Object Shapes from Single Images


Jun 14, 2020
Anh Thai, Stefan Stojanov, Vijay Upadhya, James M. Rehg

* First two authors contributed equally 

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In the Eye of the Beholder: Gaze and Actions in First Person Video


May 31, 2020
Yin Li, Miao Liu, James M. Rehg

* Submitted to TPAMI 

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Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning


Apr 17, 2020
Keuntaek Lee, Bogdan Vlahov, Jason Gibson, James M. Rehg, Evangelos A. Theodorou


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Orthogonal Over-Parameterized Training


Apr 09, 2020
Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song

* Technical Report 

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Detecting Attended Visual Targets in Video


Mar 30, 2020
Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg

* Accepted to CVPR 2020 

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A Functional EM Algorithm for Panel Count Data with Missing Counts


Mar 28, 2020
Alexander Moreno, Zhenke Wu, Jamie Yap, David Wetter, Cho Lam, Inbal Nahum-Shani, Walter Dempsey, James M. Rehg

* 18 pages 

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Neural Similarity Learning


Dec 06, 2019
Weiyang Liu, Zhen Liu, James M. Rehg, Le Song

* NeurIPS 2019 (v3) 

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Compressive Hyperspherical Energy Minimization


Jun 12, 2019
Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song


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Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics


May 13, 2019
Grady Williams, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou

* 10 pages, 4 figures 

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Tripping through time: Efficient Localization of Activities in Videos


Apr 25, 2019
Meera Hahn, Asim Kadav, James M. Rehg, Hans Peter Graf


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Learning to Generate Synthetic Data via Compositing


Apr 10, 2019
Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari

* Accepted to CVPR 2019, supplementary material included 

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Unsupervised 3D Pose Estimation with Geometric Self-Supervision


Apr 09, 2019
Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, Rohith MV, Stefan Stojanov, James M. Rehg


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Paying More Attention to Motion: Attention Distillation for Learning Video Representations


Apr 05, 2019
Miao Liu, Xin Chen, Yun Zhang, Yin Li, James M. Rehg


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Action2Vec: A Crossmodal Embedding Approach to Action Learning


Jan 02, 2019
Meera Hahn, Andrew Silva, James M. Rehg


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Taking a Deeper Look at the Inverse Compositional Algorithm


Dec 17, 2018
Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger


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Vision-Based High Speed Driving with a Deep Dynamic Observer


Dec 10, 2018
Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg


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Learning to Localize and Align Fine-Grained Actions to Sparse Instructions


Sep 22, 2018
Meera Hahn, Nataniel Ruiz, Jean-Baptiste Alayrac, Ivan Laptev, James M. Rehg


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Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation


Jul 30, 2018
Zhaoyang Lv, Kihwan Kim, Alejandro Troccoli, Deqing Sun, James M. Rehg, Jan Kautz

* This work is accepted at European Conference on Computer Vision 2018. Project page (with the video): http://research.nvidia.com/publication/2018-09_Learning-Rigidity-in The codes will be released at https://github.com/NVlabs/learningrigidity 

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Towards Black-box Iterative Machine Teaching


Jun 05, 2018
Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James M. Rehg, Le Song

* Published in ICML 2018 

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AutoRally An open platform for aggressive autonomous driving


Jun 02, 2018
Brian Goldfain, Paul Drews, Changxi You, Matthew Barulic, Orlin Velev, Panagiotis Tsiotras, James M. Rehg


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Decoupled Networks


Apr 22, 2018
Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song

* CVPR 2018 (Spotlight) 

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Fine-Grained Head Pose Estimation Without Keypoints


Apr 13, 2018
Nataniel Ruiz, Eunji Chong, James M. Rehg

* The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018, pp. 2074-2083 
* Accepted to Computer Vision and Pattern Recognition Workshops (CVPRW), 2018 IEEE Conference on. IEEE, 2018 

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