Kitani, Kris M.

58 publications

NeurIPS 2024 Don't Look Twice: Faster Video Transformers with Run-Length Tokenization Rohan Choudhury, Guanglei Zhu, Sihan Liu, Koichiro Niinuma, Kris M. Kitani, László A. Jeni

CoRL 2024 OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris M. Kitani, Changliu Liu, Guanya Shi

ICLR 2024 Universal Humanoid Motion Representations for Physics-Based Control Zhengyi Luo, Jinkun Cao, Josh Merel, Alexander Winkler, Jing Huang, Kris M. Kitani, Weipeng Xu

ICCV 2023 Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation Qichen Fu, Xingyu Liu, Ran Xu, Juan Carlos Niebles, Kris M. Kitani

ICCV 2023 TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting Rohan Choudhury, Kris M. Kitani, László A. Jeni

ICLR 2023 Time Will Tell: New Outlooks and a Baseline for Temporal Multi-View 3D Object Detection Jinhyung Park, Chenfeng Xu, Shijia Yang, Kurt Keutzer, Kris M. Kitani, Masayoshi Tomizuka, Wei Zhan

ECCV 2022 Domain Adaptive Hand Keypoint and Pixel Localization in the Wild Takehiko Ohkawa, Yu-Jhe Li, Qichen Fu, Ryosuke Furuta, Kris M. Kitani, Yoichi Sato

CoRL 2022 HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration Xingyu Liu, Deepak Pathak, Kris M. Kitani

WACV 2022 No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency S. Alireza Golestaneh, Saba Dadsetan, Kris M. Kitani

ECCV 2022 S2Net: Stochastic Sequential Pointcloud Forecasting Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani

ICLR 2022 Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design Ye Yuan, Yuda Song, Zhengyi Luo, Wen Sun, Kris M. Kitani

ICLR 2022 Wisdom of Committees: An Overlooked Approach to Faster and More Accurate Models Xiaofang Wang, Dan Kondratyuk, Eric Christiansen, Kris M. Kitani, Yair Movshovitz-Attias, Elad Eban

ICCV 2021 AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting Ye Yuan, Xinshuo Weng, Yanglan Ou, Kris M. Kitani

WACV 2021 Learning Shape Representations for Person Re-Identification Under Clothing Change Yu-Jhe Li, Xinshuo Weng, Kris M. Kitani

ICCV 2021 Multi-Echo LiDAR for 3D Object Detection Yunze Man, Xinshuo Weng, Prasanna Kumar Sivakumar, Matthew O'Toole, Kris M. Kitani

ICCV 2021 RePOSE: Fast 6d Object Pose Refinement via Deep Texture Rendering Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani

ICCV 2021 Rethinking Transformer-Based Set Prediction for Object Detection Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris M. Kitani

ICCV 2021 StereOBJ-1m: Large-Scale Stereo Image Dataset for 6d Object Pose Estimation Xingyu Liu, Shun Iwase, Kris M. Kitani

CoRL 2021 V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects Xingyu Liu, Kris M. Kitani

ICCV 2021 Visio-Temporal Attention for Multi-Camera Multi-Target Association Yu-Jhe Li, Xinshuo Weng, Yan Xu, Kris M. Kitani

ECCV 2020 AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification Xiaofang Wang, Xuehan Xiong, Maxim Neumann, Aj Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua

ECCV 2020 Neural Batch Sampling with Reinforcement Learning for Semi-Supervised Anomaly Detection Wen-Hsuan Chu, Kris M. Kitani

WACV 2019 ADA: Adversarial Data Augmentation for Object Detection Sima Behpour, Kris M. Kitani, Brian D. Ziebart

ICLR 2019 Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations Using Directed Information Mohit Sharma, Arjun Sharma, Nicholas Rhinehart, Kris M. Kitani

WACV 2019 Domain Randomization for Scene-Specific Car Detection and Pose Estimation Rawal Khirodkar, Donghyun Yoo, Kris M. Kitani

ICLR 2019 Learnable Embedding Space for Efficient Neural Architecture Compression Shengcao Cao, Xiaofang Wang, Kris M. Kitani

WACV 2018 Deep Radio-Visual Localization Tatsuya Ishihara, Kris M. Kitani, Chieko Asakawa, Michitaka Hirose

AAAI 2018 Efficient K-Shot Learning with Regularized Deep Networks Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani

CoRL 2018 Learning Neural Parsers with Deterministic Differentiable Imitation Learning Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling, Kris M. Kitani

ICLR 2018 N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning Anubhav Ashok, Nicholas Rhinehart, Fares Beainy, Kris M. Kitani

AAAI 2018 Phase-Parametric Policies for Reinforcement Learning in Cyclic Environments Arjun Sharma, Kris M. Kitani

ECCV 2018 R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting Nicholas Rhinehart, Kris M. Kitani, Paul Vernaza

WACV 2018 Recognizing Visual Signatures of Spontaneous Head Gestures Mohit Sharma, Dragan Ahmetovic, László A. Jeni, Kris M. Kitani

WACV 2018 Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision Xinshuo Weng, Shangxuan Wu, Fares Beainy, Kris M. Kitani

WACV 2018 SmartPartNet: Part-Informed Person Detection for Body-Worn Smartphones Heng Yu, Eshed Ohn-Bar, Donghyun Yoo, Kris M. Kitani

WACV 2017 Beacon-Guided Structure from Motion for Smartphone-Based Navigation Tatsuya Ishihara, Jayakorn Vongkulbhisal, Kris M. Kitani, Chieko Asakawa

ICCV 2017 First-Person Activity Forecasting with Online Inverse Reinforcement Learning Nicholas Rhinehart, Kris M. Kitani

CVPR 2017 Forecasting Interactive Dynamics of Pedestrians with Fictitious Play Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani

ICCV 2017 Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani, Yoichi Sato

ICCVW 2017 The Visual Object Tracking VOT2017 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He

WACV 2016 Cutting Through the Clutter: Task-Relevant Features for Image Matching Rohit Girdhar, David F. Fouhey, Kris M. Kitani, Abhinav Gupta, Martial Hebert

CVPR 2016 Going Deeper into First-Person Activity Recognition Minghuang Ma, Haoqi Fan, Kris M. Kitani

CVPR 2016 Learning Action Maps of Large Environments via First-Person Vision Nicholas Rhinehart, Kris M. Kitani

WACV 2016 Predicting Wide Receiver Trajectories in American Football Namhoon Lee, Kris M. Kitani

CVPR 2016 Recognizing Micro-Actions and Reactions from Paired Egocentric Videos Ryo Yonetani, Kris M. Kitani, Yoichi Sato

AAAI 2015 Approximate MaxEnt Inverse Optimal Control and Its Application for Mental Simulation of Human Interactions De-An Huang, Amir-massoud Farahmand, Kris M. Kitani, James Andrew Bagnell

CVPR 2015 Ego-Surfing First-Person Videos Ryo Yonetani, Kris M. Kitani, Yoichi Sato

WACV 2015 Face Alignment Refinement Andy Zeng, Vishnu Naresh Boddeti, Kris M. Kitani, Takeo Kanade

CVPR 2015 How Do We Use Our Hands? Discovering a Diverse Set of Common Grasps De-An Huang, Minghuang Ma, Wei-Chiu Ma, Kris M. Kitani

CVPR 2015 Learning Scene-Specific Pedestrian Detectors Without Real Data Hironori Hattori, Vishnu Naresh Boddeti, Kris M. Kitani, Takeo Kanade

ECCV 2014 Action-Reaction: Forecasting the Dynamics of Human Interaction De-An Huang, Kris M. Kitani

CVPRW 2014 An Introduction to the 3rd Workshop on Egocentric (First-Person) Vision Steve Mann, Kris M. Kitani, Yong Jae Lee, Michael S. Ryoo, Alireza Fathi

ICCV 2013 Model Recommendation with Virtual Probes for Egocentric Hand Detection Cheng Li, Kris M. Kitani

WACV 2013 Multi-Pose Multi-Target Tracking for Activity Understanding Hamid Izadinia, Varun Ramakrishna, Kris M. Kitani, Daniel Huber

CVPR 2013 Pixel-Level Hand Detection in Ego-Centric Videos Cheng Li, Kris M. Kitani

ECCV 2012 Activity Forecasting Kris M. Kitani, Brian D. Ziebart, James Andrew Bagnell, Martial Hebert

ECCV 2012 Detecting Interesting Events Using Unsupervised Density Ratio Estimation Yuichi Ito, Kris M. Kitani, James A. Bagnell, Martial Hebert

ECCVW 2012 Detecting Interesting Events Using Unsupervised Density Ratio Estimation Yuichi Ito, Kris M. Kitani, James A. Bagnell, Martial Hebert