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3D Human Motion Estimation via Motion Compression and Refinement

Aug 09, 2020
Zhengyi Luo, S. Alireza Golestaneh, Kris M. Kitani


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Importance of Self-Consistency in Active Learning for Semantic Segmentation

Aug 04, 2020
S. Alireza Golestaneh, Kris M. Kitani

* Accepted in The British Machine Vision Conference (BMVC) 2020 

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AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification

Jul 31, 2020
Xiaofang Wang, Xuehan Xiong, Maxim Neumann, AJ Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua

* ECCV 2020 

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Learning Shape Representations for Clothing Variations in Person Re-Identification

Mar 16, 2020
Yu-Jhe Li, Zhengyi Luo, Xinshuo Weng, Kris M. Kitani

* 11 pages, 8 figures. In submission 

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Human Motion Trajectory Prediction: A Survey

May 15, 2019
Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M. Kitani, Dariu M. Gavrila, Kai O. Arras

* To be submitted, 33 pages 

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Generative Hybrid Representations for Activity Forecasting with No-Regret Learning

Apr 12, 2019
Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart

* 15 pages, 4 tables, 5 figures 

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Future Near-Collision Prediction from Monocular Video: Feasibility, Dataset, and Challenges

Mar 21, 2019
Aashi Manglik, Xinshuo Weng, Eshed Ohn-Bar, Kris M. Kitani

* 7 pages, 5 figures 

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Learnable Embedding Space for Efficient Neural Architecture Compression

Feb 01, 2019
Shengcao Cao, Xiaofang Wang, Kris M. Kitani

* ICLR 2019 

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VADRA: Visual Adversarial Domain Randomization and Augmentation

Dec 03, 2018
Rawal Khirodkar, Donghyun Yoo, Kris M. Kitani


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Domain Randomization for Scene-Specific Car Detection and Pose Estimation

Nov 14, 2018
Rawal Khirodkar, Donghyun Yoo, Kris M. Kitani


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Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information

Sep 29, 2018
Arjun Sharma, Mohit Sharma, Nicholas Rhinehart, Kris M. Kitani


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Learning Neural Parsers with Deterministic Differentiable Imitation Learning

Sep 19, 2018
Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling, Kris M. Kitani

* Accepted to Conference on Robot Learning, CoRL 2018 

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Error Correction Maximization for Deep Image Hashing

Aug 06, 2018
Xiang Xu, Xiaofang Wang, Kris M. Kitani


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Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning

Jun 22, 2018
Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart, Yan Xu, Yilin Shen, Kris M. Kitani


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Gesture-based Bootstrapping for Egocentric Hand Segmentation

Jun 11, 2018
Yubo Zhang, Vishnu Naresh Boddeti, Kris M. Kitani


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N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning

Dec 17, 2017
Anubhav Ashok, Nicholas Rhinehart, Fares Beainy, Kris M. Kitani


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ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection

Dec 12, 2017
Sima Behpour, Kris M. Kitani, Brian D. Ziebart


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Ego-Surfing: Person Localization in First-Person Videos Using Ego-Motion Signatures

Nov 29, 2017
Ryo Yonetani, Kris M. Kitani, Yoichi Sato

* To appear in IEEE TPAMI 

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Efficient K-Shot Learning with Regularized Deep Networks

Oct 06, 2017
Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani


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Predictive-State Decoders: Encoding the Future into Recurrent Networks

Sep 25, 2017
Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, J. Andrew Bagnell

* NIPS 2017 

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Inverse Reinforcement Learning with Conditional Choice Probabilities

Sep 22, 2017
Mohit Sharma, Kris M. Kitani, Joachim Groeger


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First-Person Activity Forecasting with Online Inverse Reinforcement Learning

Aug 06, 2017
Nicholas Rhinehart, Kris M. Kitani

* To appear at ICCV 2017 (Oral) 

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Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption

Jul 28, 2017
Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani, Yoichi Sato

* To appear in ICCV 2017 

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Forecasting Interactive Dynamics of Pedestrians with Fictitious Play

Mar 28, 2017
Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani

* Accepted to CVPR 2017 

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Deep Supervised Hashing with Triplet Labels

Dec 12, 2016
Xiaofang Wang, Yi Shi, Kris M. Kitani

* Appear in ACCV 2016 

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Contextual Visual Similarity

Dec 08, 2016
Xiaofang Wang, Kris M. Kitani, Martial Hebert

* Submitted to CVPR 2017 

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In Teacher We Trust: Learning Compressed Models for Pedestrian Detection

Dec 01, 2016
Jonathan Shen, Noranart Vesdapunt, Vishnu N. Boddeti, Kris M. Kitani


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Going Deeper into First-Person Activity Recognition

May 12, 2016
Minghuang Ma, Haoqi Fan, Kris M. Kitani


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Learning Action Maps of Large Environments via First-Person Vision

May 05, 2016
Nicholas Rhinehart, Kris M. Kitani

* To appear at CVPR 2016 

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