Kris M. Kitani

155 papers A* 33A 22B 2Misc 5Journal 65Unranked 27

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerating Vision Transformers with Adaptive Patch Sizes. CoRR Rohan Choudhury, Jungeun Kim, Jinhyung Park, Eunho Yang, László A. Jeni, Kris M. Kitani
2024	J	`jnl`	Don't Look Twice: Faster Video Transformers with Run-Length Tokenization. CoRR Rohan Choudhury, Guanglei Zhu, Sihan Liu, Koichiro Niinuma, Kris M. Kitani, László A. Jeni
2024	Misc	`conf`	OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning. CoRL Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris M. Kitani, Changliu Liu, Guanya Shi
2024	A*	`conf`	Universal Humanoid Motion Representations for Physics-Based Control. ICLR Zhengyi Luo, Jinkun Cao, Josh Merel, Alexander Winkler, Jing Huang, Kris M. Kitani, Weipeng Xu
2024	—	`conf`	Video Question Answering with Procedural Programs. ECCV (38) Rohan Choudhury, Koichiro Niinuma, Kris M. Kitani, László A. Jeni
2023	A*	`conf`	Cost-Aware Evaluation and Model Scaling for LiDAR-Based 3D Object Detection. ICRA Xiaofang Wang, Kris M. Kitani
2023	A*	`conf`	Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation. ICCV Qichen Fu, Xingyu Liu, Ran Xu, Juan Carlos Niebles, Kris M. Kitani
2023	J	`jnl`	Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation. CoRR Qichen Fu, Xingyu Liu, Ran Xu, Juan Carlos Niebles, Kris M. Kitani
2023	A*	`conf`	TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting. ICCV Rohan Choudhury, Kris M. Kitani, László A. Jeni
2023	A*	`conf`	Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection. ICLR Jinhyung Park, Chenfeng Xu, Shijia Yang, Kurt Keutzer, Kris M. Kitani, Masayoshi Tomizuka, Wei Zhan
2023	J	`jnl`	Zero-Shot Video Question Answering with Procedural Programs. CoRR Rohan Choudhury, Koichiro Niinuma, Kris M. Kitani, László A. Jeni
2022	J	`jnl`	Cost-Aware Evaluation and Model Scaling for LiDAR-Based 3D Object Detection. CoRR Xiaofang Wang, Kris M. Kitani
2022	—	`conf`	Domain Adaptive Hand Keypoint and Pixel Localization in the Wild. ECCV (9) Takehiko Ohkawa, Yu-Jhe Li, Qichen Fu, Ryosuke Furuta, Kris M. Kitani, Yoichi Sato
2022	J	`jnl`	Domain Adaptive Hand Keypoint and Pixel Localization in the Wild. CoRR Takehiko Ohkawa, Yu-Jhe Li, Qichen Fu, Ryosuke Furuta, Kris M. Kitani, Yoichi Sato
2022	J	`jnl`	From Universal Humanoid Control to Automatic Physically Valid Character Creation. CoRR Zhengyi Luo, Ye Yuan, Kris M. Kitani
2022	Misc	`conf`	HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration. CoRL Xingyu Liu, Deepak Pathak, Kris M. Kitani
2022	J	`jnl`	HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration. CoRR Xingyu Liu, Deepak Pathak, Kris M. Kitani
2022	A	`conf`	No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency. WACV S. Alireza Golestaneh, Saba Dadsetan, Kris M. Kitani
2022	J	`jnl`	REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer. CoRR Xingyu Liu, Deepak Pathak, Kris M. Kitani
2022	—	`conf`	S2Net: Stochastic Sequential Pointcloud Forecasting. ECCV (27) Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani
2022	A*	`conf`	Sequential Voting with Relational Box Fields for Active Object Detection. CVPR Qichen Fu, Xingyu Liu, Kris M. Kitani
2022	A*	`conf`	Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design. ICLR Ye Yuan, Yuda Song, Zhengyi Luo, Wen Sun, Kris M. Kitani
2022	A*	`conf`	Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models. ICLR Xiaofang Wang, Dan Kondratyuk, Eric Christiansen, Kris M. Kitani, Yair Movshovitz-Attias, Elad Eban
2021	A	`conf`	KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation. IROS Xingyu Liu, Shun Iwase, Kris M. Kitani
2021	J	`jnl`	KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation. CoRR Xingyu Liu, Shun Iwase, Kris M. Kitani
2021	A	`conf`	Learning Shape Representations for Person Re-Identification under Clothing Change. WACV Yu-Jhe Li, Xinshuo Weng, Kris M. Kitani
2021	J	`jnl`	Neighborhood-Aware Neural Architecture Search. CoRR Xiaofang Wang, Shengcao Cao, Mengtian Li, Kris M. Kitani
2021	J	`jnl`	No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency. CoRR S. Alireza Golestaneh, Saba Dadsetan, Kris M. Kitani
2021	A*	`conf`	RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering. ICCV Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani
2021	J	`jnl`	RePOSE: Real-Time Iterative Rendering and Refinement for 6D Object Pose Estimation. CoRR Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani
2021	J	`jnl`	Sequential Decision-Making for Active Object Detection from Hand. CoRR Qichen Fu, Xingyu Liu, Kris M. Kitani
2021	A*	`conf`	StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation. ICCV Xingyu Liu, Shun Iwase, Kris M. Kitani
2021	J	`jnl`	StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation. CoRR Xingyu Liu, Shun Iwase, Kris M. Kitani
2021	Misc	`conf`	V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects. CoRL Xingyu Liu, Kris M. Kitani
2021	J	`jnl`	V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects. CoRR Xingyu Liu, Kris M. Kitani
2020	—	`conf`	3D Human Motion Estimation via Motion Compression and Refinement. ACCV (5) Zhengyi Luo, S. Alireza Golestaneh, Kris M. Kitani
2020	J	`jnl`	3D Human Motion Estimation via Motion Compression and Refinement. CoRR Zhengyi Luo, S. Alireza Golestaneh, Kris M. Kitani
2020	—	`conf`	AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification. ECCV (8) Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua
2020	J	`jnl`	AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification. CoRR Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua
2020	A*	`conf`	Back-Hand-Pose: 3D Hand Pose Estimation for a Wrist-worn Camera via Dorsum Deformation Network. UIST Erwin Wu, Ye Yuan, Hui-Shyong Yeo, Aaron Quigley, Hideki Koike, Kris M. Kitani
2020	J	`jnl`	DLow: Diversifying Latent Flows for Diverse Human Motion Prediction. CoRR Ye Yuan, Kris M. Kitani
2020	A*	`conf`	Diverse Trajectory Forecasting with Determinantal Point Processes. ICLR Ye Yuan, Kris M. Kitani
2020	J	`jnl`	First-Person Activity Forecasting from Video with Online Inverse Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Nicholas Rhinehart, Kris M. Kitani
2020	A*	`conf`	GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning. CVPR Xinshuo Weng, Yongxin Wang, Yunze Man, Kris M. Kitani
2020	A*	`conf`	Generative Hybrid Representations for Activity Forecasting With No-Regret Learning. CVPR Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart
2020	J	`jnl`	Human motion trajectory prediction: a survey. Int. J. Robotics Res. Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M. Kitani, Dariu M. Gavrila, Kai O. Arras
2020	J	`jnl`	Importance of Self-Consistency in Active Learning for Semantic Segmentation. CoRR S. Alireza Golestaneh, Kris M. Kitani
2020	J	`jnl`	Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation. CoRR Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Shun Iwase, Kris M. Kitani
2020	J	`jnl`	Learning Shape Representations for Clothing Variations in Person Re-Identification. CoRR Yu-Jhe Li, Zhengyi Luo, Xinshuo Weng, Kris M. Kitani
2020	A*	`conf`	MonoEye: Multimodal Human Motion Capture System Using A Single Ultra-Wide Fisheye Camera. UIST Dong-Hyun Hwang, Kohei Aso, Ye Yuan, Kris M. Kitani, Hideki Koike
2020	J	`jnl`	Multiple Networks are More Efficient than One: Fast and Accurate Models via Ensembles and Cascades. CoRR Xiaofang Wang, Dan Kondratyuk, Kris M. Kitani, Yair Movshovitz-Attias, Elad Eban
2020	—	`conf`	Neural Batch Sampling with Reinforcement Learning for Semi-supervised Anomaly Detection. ECCV (26) Wen-Hsuan Chu, Kris M. Kitani
2020	A*	`conf`	Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation. CVPR Mariko Isogawa, Ye Yuan, Matthew O'Toole, Kris M. Kitani
2020	A*	`conf`	Twitter A11y: A Browser Extension to Make Twitter Images Accessible. CHI Cole Gleason, Amy Pavel, Emma McCamey, Christina Low, Patrick Carrington, Kris M. Kitani, Jeffrey P. Bigham
2020	J	`jnl`	Virtual navigation for blind people: Transferring route knowledge to the real-World. Int. J. Hum. Comput. Stud. João Guerreiro, Daisuke Sato, Dragan Ahmetovic, Eshed Ohn-Bar, Kris M. Kitani, Chieko Asakawa
2019	A*	`conf`	"It's almost like they're trying to hide it": How User-Provided Image Descriptions Have Failed to Make Twitter Accessible. WWW Cole Gleason, Patrick Carrington, Cameron Tyler Cassidy, Meredith Ringel Morris, Kris M. Kitani, Jeffrey P. Bigham
2019	A	`conf`	ADA: Adversarial Data Augmentation for Object Detection. WACV Sima Behpour, Kris M. Kitani, Brian D. Ziebart
2019	—	`conf`	An Independent and Interactive Museum Experience for Blind People. W4A Saki Asakawa, João Guerreiro, Daisuke Sato, Hironobu Takagi, Dragan Ahmetovic, Desi Gonzalez, Kris M. Kitani, Chieko Asakawa
2019	A	`conf`	CaBot: Designing and Evaluating an Autonomous Navigation Robot for Blind People. ASSETS João Guerreiro, Daisuke Sato, Saki Asakawa, Huixu Dong, Kris M. Kitani, Chieko Asakawa
2019	—	`conf`	Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information. ICLR (Poster) Mohit Sharma, Arjun Sharma, Nicholas Rhinehart, Kris M. Kitani
2019	A	`conf`	Domain Randomization for Scene-Specific Car Detection and Pose Estimation. WACV Rawal Khirodkar, Donghyun Yoo, Kris M. Kitani
2019	A	`conf`	Forecasting Time-to-Collision from Monocular Video: Feasibility, Dataset, and Challenges. IROS Aashi Manglik, Xinshuo Weng, Eshed Ohn-Bar, Kris M. Kitani
2019	J	`jnl`	Future Near-Collision Prediction from Monocular Video: Feasibility, Dataset, and Challenges. CoRR Aashi Manglik, Xinshuo Weng, Eshed Ohn-Bar, Kris M. Kitani
2019	J	`jnl`	Generative Hybrid Representations for Activity Forecasting with No-Regret Learning. CoRR Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart
2019	J	`jnl`	Human Motion Trajectory Prediction: A Survey. CoRR Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M. Kitani, Dariu M. Gavrila, Kai Oliver Arras
2019	—	`conf`	Impact of Expertise on Interaction Preferences for Navigation Assistance of Visually Impaired Individuals. W4A Dragan Ahmetovic, João Guerreiro, Eshed Ohn-Bar, Kris M. Kitani, Chieko Asakawa
2019	—	`conf`	Learnable Embedding Space for Efficient Neural Architecture Compression. ICLR (Poster) Shengcao Cao, Xiaofang Wang, Kris M. Kitani
2019	J	`jnl`	Learnable Embedding Space for Efficient Neural Architecture Compression. CoRR Shengcao Cao, Xiaofang Wang, Kris M. Kitani
2019	J	`jnl`	Modeling Social Group Communication with Multi-Agent Imitation Learning. CoRR Navyata Sanghvi, Ryo Yonetani, Kris M. Kitani
2019	J	`jnl`	NavCog3 in the Wild: Large-scale Blind Indoor Navigation Assistant with Semantic Features. ACM Trans. Access. Comput. Daisuke Sato, Uran Oh, João Guerreiro, Dragan Ahmetovic, Kakuya Naito, Hironobu Takagi, Kris M. Kitani, Chieko Asakawa
2019	J	`jnl`	PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings. CoRR Nicholas Rhinehart, Rowan McAllister, Kris M. Kitani, Sergey Levine
2019	J	`jnl`	Smartphone-based localization for blind navigation in building-scale indoor environments. Pervasive Mob. Comput. Masayuki Murata, Dragan Ahmetovic, Daisuke Sato, Hironobu Takagi, Kris M. Kitani, Chieko Asakawa
2018	—	`conf`	3D Ego-Pose Estimation via Imitation Learning. ECCV (16) Ye Yuan, Kris M. Kitani
2018	J	`jnl`	Crowdsourcing the Installation and Maintenance of Indoor Localization Infrastructure to Support Blind Navigation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Cole Gleason, Dragan Ahmetovic, Saiph Savage, Carlos Toxtli, Carl Posthuma, Chieko Asakawa, Kris M. Kitani, Jeffrey P. Bigham
2018	J	`jnl`	Deep Learning and Geometry-based Image Localization Enhanced by Bluetooth Signals. J. Inf. Process. Tatsuya Ishihara, Kris M. Kitani, Chieko Asakawa, Michitaka Hirose
2018	A	`conf`	Deep Radio-Visual Localization. WACV Tatsuya Ishihara, Kris M. Kitani, Chieko Asakawa, Michitaka Hirose
2018	J	`jnl`	Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information. CoRR Arjun Sharma, Mohit Sharma, Nicholas Rhinehart, Kris M. Kitani
2018	J	`jnl`	Domain Randomization for Scene-Specific Car Detection and Pose Estimation. CoRR Rawal Khirodkar, Donghyun Yoo, Kris M. Kitani
2018	A*	`conf`	Efficient K-Shot Learning With Regularized Deep Networks. AAAI Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani
2018	J	`jnl`	Ego-Surfing: Person Localization in First-Person Videos Using Ego-Motion Signatures. IEEE Trans. Pattern Anal. Mach. Intell. Ryo Yonetani, Kris M. Kitani, Yoichi Sato
2018	A*	`conf`	Environmental Factors in Indoor Navigation Based on Real-World Trajectories of Blind Users. CHI Hernisa Kacorri, Eshed Ohn-Bar, Kris M. Kitani, Chieko Asakawa
2018	A	`conf`	Error Correction Maximization for Deep Image Hashing. BMVC Xiang Xu, Xiaofang Wang, Kris M. Kitani
2018	J	`jnl`	Error Correction Maximization for Deep Image Hashing. CoRR Xiang Xu, Xiaofang Wang, Kris M. Kitani
2018	J	`jnl`	GroundNet: Segmentation-Aware Monocular Ground Plane Estimation with Geometric Consistency. CoRR Yunze Man, Xinshuo Weng, Kris M. Kitani
2018	—	`conf`	How Context and User Behavior Affect Indoor Navigation Assistance for Blind People. W4A João Guerreiro, Eshed Ohn-Bar, Dragan Ahmetovic, Kris M. Kitani, Chieko Asakawa
2018	J	`jnl`	Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning. CoRR Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart, Yan Xu, Yilin Shen, Kris M. Kitani
2018	Misc	`conf`	Learning Neural Parsers with Deterministic Differentiable Imitation Learning. CoRL Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling, Kris M. Kitani
2018	J	`jnl`	Learning Neural Parsers with Deterministic Differentiable Imitation Learning. CoRR Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling, Kris M. Kitani
2018	A	`conf`	Modeling Expertise in Assistive Navigation Interfaces for Blind People. IUI Eshed Ohn-Bar, João Guerreiro, Dragan Ahmetovic, Kris M. Kitani, Chieko Asakawa
2018	—	`conf`	N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning. ICLR (Poster) Anubhav Ashok, Nicholas Rhinehart, Fares Beainy, Kris M. Kitani
2018	J	`jnl`	Personalized Dynamics Models for Adaptive Assistive Navigation Interfaces. CoRR Eshed Ohn-Bar, Kris M. Kitani, Chieko Asakawa
2018	A*	`conf`	Phase-Parametric Policies for Reinforcement Learning in Cyclic Environments. AAAI Arjun Sharma, Kris M. Kitani
2018	A	`conf`	Recognizing Visual Signatures of Spontaneous Head Gestures. WACV Mohit Sharma, Dragan Ahmetovic, László A. Jeni, Kris M. Kitani
2018	A	`conf`	Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision. WACV Xinshuo Weng, Shangxuan Wu, Fares Beainy, Kris M. Kitani
2018	—	`conf`	Semi-automated home-based therapy for the upper extremity of stroke survivors. PETRA Thanassis Rikakis, Aisling Kelliher, Jinwoo Choi, Jia-Bin Huang, Kris M. Kitani, Setor Zilevu, Steven L. Wolf
2018	A	`conf`	SmartPartNet: Part-Informed Person Detection for Body-Worn Smartphones. WACV Heng Yu, Eshed Ohn-Bar, Donghyun Yoo, Kris M. Kitani
2018	A*	`conf`	Smartphone-based Indoor Localization for Blind Navigation across Building Complexes. PerCom Masayuki Murata, Dragan Ahmetovic, Daisuke Sato, Hironobu Takagi, Kris M. Kitani, Chieko Asakawa
2018	J	`jnl`	Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance - Can We Learn Pedestrian Detectors and Pose Estimators Without Real Data? Int. J. Comput. Vis. Hironori Hattori, Namhoon Lee, Vishnu Naresh Boddeti, Fares Beainy, Kris M. Kitani, Takeo Kanade
2018	A	`conf`	The Present and Future of Museum Accessibility for People with Visual Impairments. ASSETS Saki Asakawa, João Guerreiro, Dragan Ahmetovic, Kris M. Kitani, Chieko Asakawa
2018	J	`jnl`	Understanding hand-object manipulation by modeling the contextual relationship between actions, grasp types and object attributes. CoRR Minjie Cai, Kris M. Kitani, Yoichi Sato
2018	J	`jnl`	VADRA: Visual Adversarial Domain Randomization and Augmentation. CoRR Rawal Khirodkar, Donghyun Yoo, Kris M. Kitani
2018	—	`conf`	r2p2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting. ECCV (13) Nicholas Rhinehart, Kris M. Kitani, Paul Vernaza
2017	—	`ch.`	Activity Forecasting: An Invitation to Predictive Perception. Group and Crowd Behavior for Computer Vision Kris M. Kitani, De-An Huang, Wei-Chiu Ma
2017	J	`jnl`	Adversarially Optimizing Intersection over Union for Object Localization Tasks. CoRR Sima Behpour, Kris M. Kitani, Brian D. Ziebart
2017	J	`jnl`	An Ego-Vision System for Hand Grasp Analysis. IEEE Trans. Hum. Mach. Syst. Minjie Cai, Kris M. Kitani, Yoichi Sato
2017	A	`conf`	Beacon-Guided Structure from Motion for Smartphone-Based Navigation. WACV Tatsuya Ishihara, Jayakorn Vongkulbhisal, Kris M. Kitani, Chieko Asakawa
2017	J	`jnl`	Efficient K-Shot Learning with Regularized Deep Networks. CoRR Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani
2017	A*	`conf`	First-Person Activity Forecasting with Online Inverse Reinforcement Learning. ICCV Nicholas Rhinehart, Kris M. Kitani
2017	A*	`conf`	Forecasting Interactive Dynamics of Pedestrians with Fictitious Play. CVPR Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani
2017	J	`jnl`	Guest Editorial Special Issue on Wearable and Ego-Vision Systems for Augmented Experience. IEEE Trans. Hum. Mach. Syst. Giuseppe Serra, Rita Cucchiara, Kris M. Kitani, Javier Civera
2017	A	`conf`	HOMER: An Interactive System for Home Based Stroke Rehabilitation. ASSETS Aisling Kelliher, Jinwoo Choi, Jia-Bin Huang, Thanassis Rikakis, Kris M. Kitani
2017	Misc	`conf`	Inference Machines for supervised Bluetooth localization. ICASSP Tatsuya Ishihara, Kris M. Kitani, Chieko Asakawa, Michitaka Hirose
2017	J	`jnl`	Inverse Reinforcement Learning with Conditional Choice Probabilities. CoRR Mohit Sharma, Kris M. Kitani, Joachim Groeger
2017	J	`jnl`	N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning. CoRR Anubhav Ashok, Nicholas Rhinehart, Fares Beainy, Kris M. Kitani
2017	A*	`conf`	People with Visual Impairment Training Personal Object Recognizers: Feasibility and Challenges. CHI Hernisa Kacorri, Kris M. Kitani, Jeffrey P. Bigham, Chieko Asakawa
2017	—	`conf`	Predictive-State Decoders: Encoding the Future into Recurrent Networks. NIPS Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, James Andrew Bagnell
2017	J	`jnl`	Predictive-State Decoders: Encoding the Future into Recurrent Networks. CoRR Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, J. Andrew Bagnell
2017	A*	`conf`	Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption. ICCV Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani, Yoichi Sato
2017	J	`jnl`	Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption. CoRR Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani, Yoichi Sato
2017	—	`conf`	The Visual Object Tracking VOT2017 Challenge Results. ICCV Workshops 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
2017	A	`conf`	Virtual Navigation for Blind People: Building Sequential Representations of the Real-World. ASSETS João Guerreiro, Dragan Ahmetovic, Kris M. Kitani, Chieko Asakawa
2016	J	`jnl`	A Game-Theoretic Approach to Multi-Pedestrian Activity Forecasting. CoRR Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani
2016	J	`jnl`	Contextual Visual Similarity. CoRR Xiaofang Wang, Kris M. Kitani, Martial Hebert
2016	A	`conf`	Cutting through the clutter: Task-relevant features for image matching. WACV Rohit Girdhar, David F. Fouhey, Kris M. Kitani, Abhinav Gupta, Martial Hebert
2016	—	`conf`	Deep Supervised Hashing with Triplet Labels. ACCV (1) Xiaofang Wang, Yi Shi, Kris M. Kitani
2016	J	`jnl`	Deep Supervised Hashing with Triplet Labels. CoRR Xiaofang Wang, Yi Shi, Kris M. Kitani
2016	J	`jnl`	Gesture-based Bootstrapping for Egocentric Hand Segmentation. CoRR Yubo Zhang, Vishnu Naresh Boddeti, Kris M. Kitani
2016	A*	`conf`	Going Deeper into First-Person Activity Recognition. CVPR Minghuang Ma, Haoqi Fan, Kris M. Kitani
2016	J	`jnl`	Going Deeper into First-Person Activity Recognition. CoRR Minghuang Ma, Haoqi Fan, Kris M. Kitani
2016	J	`jnl`	Hybrid macro-micro visual analysis for city-scale state estimation. Comput. Vis. Image Underst. Ken Sakurada, Takayuki Okatani, Kris M. Kitani
2016	J	`jnl`	In Teacher We Trust: Learning Compressed Models for Pedestrian Detection. CoRR Jonathan Shen, Noranart Vesdapunt, Vishnu Naresh Boddeti, Kris M. Kitani
2016	J	`jnl`	Learning Action Maps of Large Environments via First-Person Vision. CoRR Nicholas Rhinehart, Kris M. Kitani
2016	—	`conf`	Long-Term Activity Forecasting Using First-Person Vision. ACCV (5) Syed Zahir Bokhari, Kris M. Kitani
2016	B	`conf`	NavCog: a navigational cognitive assistant for the blind. MobileHCI Dragan Ahmetovic, Cole Gleason, Chengxiong Ruan, Kris M. Kitani, Hironobu Takagi, Chieko Asakawa
2016	—	`conf`	NavCog: turn-by-turn smartphone navigation assistant for people with visual impairments or blindness. W4A Dragan Ahmetovic, Cole Gleason, Kris M. Kitani, Hironobu Takagi, Chieko Asakawa
2016	J	`jnl`	Online Semantic Activity Forecasting with DARKO. CoRR Nicholas Rhinehart, Kris M. Kitani
2016	A	`conf`	Predicting wide receiver trajectories in American football. WACV Namhoon Lee, Kris M. Kitani
2016	A*	`conf`	Recognizing Micro-Actions and Reactions from Paired Egocentric Videos. CVPR Ryo Yonetani, Kris M. Kitani, Yoichi Sato
2016	—	`conf`	Understanding Hand-Object Manipulation with Grasp Types and Object Attributes. Robotics: Science and Systems Minjie Cai, Kris M. Kitani, Yoichi Sato
2016	J	`jnl`	Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator. CoRR Namhoon Lee, Xinshuo Weng, Vishnu Naresh Boddeti, Yu Zhang, Fares Beainy, Kris M. Kitani, Takeo Kanade
2015	A*	`conf`	Approximate MaxEnt Inverse Optimal Control and Its Application for Mental Simulation of Human Interactions. AAAI De-An Huang, Amir-massoud Farahmand, Kris M. Kitani, James Andrew Bagnell
2015	A	`conf`	Face Alignment Refinement. WACV Andy Zeng, Vishnu Naresh Boddeti, Kris M. Kitani, Takeo Kanade
2015	A	`conf`	Hand parsing for fine-grained recognition of human grasps in monocular images. IROS Akanksha Saran, Damien Teney, Kris M. Kitani
2015	A*	`conf`	How do we use our hands? Discovering a diverse set of common grasps. CVPR De-An Huang, Minghuang Ma, Wei-Chiu Ma, Kris M. Kitani
2015	A*	`conf`	Learning scene-specific pedestrian detectors without real data. CVPR Hironori Hattori, Vishnu Naresh Boddeti, Kris M. Kitani, Takeo Kanade
2015	B	`conf`	Recognizing hand-object interactions in wearable camera videos. ICIP Tatsuya Ishihara, Kris M. Kitani, Wei-Chiu Ma, Hironobu Takagi, Chieko Asakawa
2014	—	`conf`	Action-Reaction: Forecasting the Dynamics of Human Interaction. ECCV (7) De-An Huang, Kris M. Kitani
2014	—	`conf`	An Introduction to the 3rd Workshop on Egocentric (First-Person) Vision. CVPR Workshops Steve Mann, Kris M. Kitani, Yong Jae Lee, Michael S. Ryoo, Alireza Fathi
2014	—	`conf`	Automating Stroke Rehabilitation for Home-Based Therapy. AAAI Fall Symposia Akanksha Saran, Kris M. Kitani, Thanassis Rikakis
2014	—	`conf`	Massive City-Scale Surface Condition Analysis Using Ground and Aerial Imagery. ACCV (1) Ken Sakurada, Takayuki Okatani, Kris M. Kitani
2013	A*	`conf`	Model Recommendation with Virtual Probes for Egocentric Hand Detection. ICCV Cheng Li, Kris M. Kitani
2013	A	`conf`	Multi-pose multi-target tracking for activity understanding. WACV Hamid Izadinia, Varun Ramakrishna, Kris M. Kitani, Daniel Huber
2013	A*	`conf`	Pixel-Level Hand Detection in Ego-centric Videos. CVPR Cheng Li, Kris M. Kitani
2012	—	`conf`	Activity Forecasting. ECCV (4) Kris M. Kitani, Brian D. Ziebart, James Andrew Bagnell, Martial Hebert
2012	—	`conf`	Detecting Interesting Events Using Unsupervised Density Ratio Estimation. ECCV Workshops (3) Yuichi Ito, Kris M. Kitani, James A. Bagnell, Martial Hebert