Kris M. Kitani

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 135

Top Venues

Publications

Zhengyi Luo, Jinkun Cao, Josh Merel, Alexander Winkler, Jing Huang, Kris M. Kitani, Weipeng Xu
Universal Humanoid Motion Representations for Physics-Based Control. ICLR (2024)
Qichen Fu, Xingyu Liu, Ran Xu, Juan Carlos Niebles, Kris M. Kitani
Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation. ICCV (2023)
Jinhyung Park, Chenfeng Xu, Shijia Yang, Kurt Keutzer, Kris M. Kitani, Masayoshi Tomizuka, Wei Zhan
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection. ICLR (2023)
Qichen Fu, Xingyu Liu, Ran Xu, Juan Carlos Niebles, Kris M. Kitani
Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation. CoRR (2023)
Xiaofang Wang, Kris M. Kitani
Cost-Aware Evaluation and Model Scaling for LiDAR-Based 3D Object Detection. ICRA (2023)
Rohan Choudhury, Koichiro Niinuma, Kris M. Kitani, László A. Jeni
Zero-Shot Video Question Answering with Procedural Programs. CoRR (2023)
Rohan Choudhury, Kris M. Kitani, László A. Jeni
TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting. ICCV (2023)
Takehiko Ohkawa, Yu-Jhe Li, Qichen Fu, Ryosuke Furuta, Kris M. Kitani, Yoichi Sato
Domain Adaptive Hand Keypoint and Pixel Localization in the Wild. ECCV (9) (2022)
Zhengyi Luo, Ye Yuan, Kris M. Kitani
From Universal Humanoid Control to Automatic Physically Valid Character Creation. CoRR (2022)
Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani
S2Net: Stochastic Sequential Pointcloud Forecasting. ECCV (27) (2022)
Qichen Fu, Xingyu Liu, Kris M. Kitani
Sequential Voting with Relational Box Fields for Active Object Detection. CVPR (2022)
S. Alireza Golestaneh, Saba Dadsetan, Kris M. Kitani
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency. WACV (2022)
Xingyu Liu, Deepak Pathak, Kris M. Kitani
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer. CoRR (2022)
Xiaofang Wang, Dan Kondratyuk, Eric Christiansen, Kris M. Kitani, Yair Movshovitz-Attias, Elad Eban
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models. ICLR (2022)
Xingyu Liu, Deepak Pathak, Kris M. Kitani
HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration. CoRR (2022)
Ye Yuan, Yuda Song, Zhengyi Luo, Wen Sun, Kris M. Kitani
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design. ICLR (2022)
Xingyu Liu, Deepak Pathak, Kris M. Kitani
HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration. CoRL (2022)
Xiaofang Wang, Kris M. Kitani
Cost-Aware Evaluation and Model Scaling for LiDAR-Based 3D Object Detection. CoRR (2022)
Takehiko Ohkawa, Yu-Jhe Li, Qichen Fu, Ryosuke Furuta, Kris M. Kitani, Yoichi Sato
Domain Adaptive Hand Keypoint and Pixel Localization in the Wild. CoRR (2022)
Xingyu Liu, Shun Iwase, Kris M. Kitani
StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation. ICCV (2021)
Xingyu Liu, Kris M. Kitani
V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects. CoRL (2021)
S. Alireza Golestaneh, Saba Dadsetan, Kris M. Kitani
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency. CoRR (2021)
Xingyu Liu, Shun Iwase, Kris M. Kitani
KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation. CoRR (2021)
Xingyu Liu, Kris M. Kitani
V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects. CoRR (2021)
Qichen Fu, Xingyu Liu, Kris M. Kitani
Sequential Decision-Making for Active Object Detection from Hand. CoRR (2021)
Xingyu Liu, Shun Iwase, Kris M. Kitani
KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation. IROS (2021)
Yu-Jhe Li, Xinshuo Weng, Kris M. Kitani
Learning Shape Representations for Person Re-Identification under Clothing Change. WACV (2021)
Xingyu Liu, Shun Iwase, Kris M. Kitani
StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation. CoRR (2021)
Xiaofang Wang, Shengcao Cao, Mengtian Li, Kris M. Kitani
Neighborhood-Aware Neural Architecture Search. CoRR (2021)
Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani
RePOSE: Real-Time Iterative Rendering and Refinement for 6D Object Pose Estimation. CoRR (2021)
Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani
RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering. ICCV (2021)
Xiaofang Wang, Dan Kondratyuk, Kris M. Kitani, Yair Movshovitz-Attias, Elad Eban
Multiple Networks are More Efficient than One: Fast and Accurate Models via Ensembles and Cascades. CoRR (2020)
Dong-Hyun Hwang, Kohei Aso, Ye Yuan, Kris M. Kitani, Hideki Koike
MonoEye: Multimodal Human Motion Capture System Using A Single Ultra-Wide Fisheye Camera. UIST (2020)
Zhengyi Luo, S. Alireza Golestaneh, Kris M. Kitani
3D Human Motion Estimation via Motion Compression and Refinement. CoRR (2020)
Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart
Generative Hybrid Representations for Activity Forecasting With No-Regret Learning. CVPR (2020)
Mariko Isogawa, Ye Yuan, Matthew O'Toole, Kris M. Kitani
Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation. CVPR (2020)
Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Shun Iwase, Kris M. Kitani
Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation. CoRR (2020)
Erwin Wu, Ye Yuan, Hui-Shyong Yeo, Aaron Quigley, Hideki Koike, Kris M. Kitani
Back-Hand-Pose: 3D Hand Pose Estimation for a Wrist-worn Camera via Dorsum Deformation Network. UIST (2020)
Nicholas Rhinehart, Kris M. Kitani
First-Person Activity Forecasting from Video with Online Inverse Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42 (2) (2020)
Yu-Jhe Li, Zhengyi Luo, Xinshuo Weng, Kris M. Kitani
Learning Shape Representations for Clothing Variations in Person Re-Identification. CoRR (2020)
Zhengyi Luo, S. Alireza Golestaneh, Kris M. Kitani
3D Human Motion Estimation via Motion Compression and Refinement. ACCV (5) (2020)
Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M. Kitani, Dariu M. Gavrila, Kai Oliver Arras
Human motion trajectory prediction: a survey. Int. J. Robotics Res. 39 (8) (2020)
Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification. CoRR (2020)
Cole Gleason, Amy Pavel, Emma McCamey, Christina Low, Patrick Carrington, Kris M. Kitani, Jeffrey P. Bigham
Twitter A11y: A Browser Extension to Make Twitter Images Accessible. CHI (2020)
Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification. ECCV (8) (2020)
João Guerreiro, Daisuke Sato, Dragan Ahmetovic, Eshed Ohn-Bar, Kris M. Kitani, Chieko Asakawa
Virtual navigation for blind people: Transferring route knowledge to the real-World. Int. J. Hum. Comput. Stud. 135 (2020)
Wen-Hsuan Chu, Kris M. Kitani
Neural Batch Sampling with Reinforcement Learning for Semi-supervised Anomaly Detection. ECCV (26) (2020)
S. Alireza Golestaneh, Kris M. Kitani
Importance of Self-Consistency in Active Learning for Semantic Segmentation. CoRR (2020)
Ye Yuan, Kris M. Kitani
Diverse Trajectory Forecasting with Determinantal Point Processes. ICLR (2020)
Ye Yuan, Kris M. Kitani
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction. CoRR (2020)
Xinshuo Weng, Yongxin Wang, Yunze Man, Kris M. Kitani
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning. CVPR (2020)
Aashi Manglik, Xinshuo Weng, Eshed Ohn-Bar, Kris M. Kitani
Forecasting Time-to-Collision from Monocular Video: Feasibility, Dataset, and Challenges. IROS (2019)
Rawal Khirodkar, Donghyun Yoo, Kris M. Kitani
Domain Randomization for Scene-Specific Car Detection and Pose Estimation. WACV (2019)
Nicholas Rhinehart, Rowan McAllister, Kris M. Kitani, Sergey Levine
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings. CoRR (2019)
Dragan Ahmetovic, João Guerreiro, Eshed Ohn-Bar, Kris M. Kitani, Chieko Asakawa
Impact of Expertise on Interaction Preferences for Navigation Assistance of Visually Impaired Individuals. W4A (2019)
João Guerreiro, Daisuke Sato, Saki Asakawa, Huixu Dong, Kris M. Kitani, Chieko Asakawa
CaBot: Designing and Evaluating an Autonomous Navigation Robot for Blind People. ASSETS (2019)
Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M. Kitani, Dariu M. Gavrila, Kai Oliver Arras
Human Motion Trajectory Prediction: A Survey. CoRR (2019)
Shengcao Cao, Xiaofang Wang, Kris M. Kitani
Learnable Embedding Space for Efficient Neural Architecture Compression. ICLR (Poster) (2019)
Saki Asakawa, João Guerreiro, Daisuke Sato, Hironobu Takagi, Dragan Ahmetovic, Desi Gonzalez, Kris M. Kitani, Chieko Asakawa
An Independent and Interactive Museum Experience for Blind People. W4A (2019)
Masayuki Murata, Dragan Ahmetovic, Daisuke Sato, Hironobu Takagi, Kris M. Kitani, Chieko Asakawa
Smartphone-based localization for blind navigation in building-scale indoor environments. Pervasive Mob. Comput. 57 (2019)
Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart
Generative Hybrid Representations for Activity Forecasting with No-Regret Learning. CoRR (2019)
Mohit Sharma, Arjun Sharma, Nicholas Rhinehart, Kris M. Kitani
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information. ICLR (Poster) (2019)
Shengcao Cao, Xiaofang Wang, Kris M. Kitani
Learnable Embedding Space for Efficient Neural Architecture Compression. CoRR (2019)
Sima Behpour, Kris M. Kitani, Brian D. Ziebart
ADA: Adversarial Data Augmentation for Object Detection. WACV (2019)
Daisuke Sato, Uran Oh, João Guerreiro, Dragan Ahmetovic, Kakuya Naito, Hironobu Takagi, Kris M. Kitani, Chieko Asakawa
NavCog3 in the Wild: Large-scale Blind Indoor Navigation Assistant with Semantic Features. ACM Trans. Access. Comput. 12 (3) (2019)
Navyata Sanghvi, Ryo Yonetani, Kris M. Kitani
Modeling Social Group Communication with Multi-Agent Imitation Learning. CoRR (2019)
Aashi Manglik, Xinshuo Weng, Eshed Ohn-Bar, Kris M. Kitani
Future Near-Collision Prediction from Monocular Video: Feasibility, Dataset, and Challenges. CoRR (2019)
Cole Gleason, Patrick Carrington, Cameron Tyler Cassidy, Meredith Ringel Morris, Kris M. Kitani, Jeffrey P. Bigham
"It's almost like they're trying to hide it": How User-Provided Image Descriptions Have Failed to Make Twitter Accessible. WWW (2019)
Saki Asakawa, João Guerreiro, Dragan Ahmetovic, Kris M. Kitani, Chieko Asakawa
The Present and Future of Museum Accessibility for People with Visual Impairments. ASSETS (2018)
Xinshuo Weng, Shangxuan Wu, Fares Beainy, Kris M. Kitani
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision. WACV (2018)
Mohit Sharma, Dragan Ahmetovic, László A. Jeni, Kris M. Kitani
Recognizing Visual Signatures of Spontaneous Head Gestures. WACV (2018)
Arjun Sharma, Mohit Sharma, Nicholas Rhinehart, Kris M. Kitani
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information. CoRR (2018)
Tatsuya Ishihara, Kris M. Kitani, Chieko Asakawa, Michitaka Hirose
Deep Learning and Geometry-based Image Localization Enhanced by Bluetooth Signals. J. Inf. Process. 26 (2018)
Masayuki Murata, Dragan Ahmetovic, Daisuke Sato, Hironobu Takagi, Kris M. Kitani, Chieko Asakawa
Smartphone-based Indoor Localization for Blind Navigation across Building Complexes. PerCom (2018)
Eshed Ohn-Bar, Kris M. Kitani, Chieko Asakawa
Personalized Dynamics Models for Adaptive Assistive Navigation Interfaces. CoRR (2018)
Ye Yuan, Kris M. Kitani
3D Ego-Pose Estimation via Imitation Learning. ECCV (16) (2018)
Heng Yu, Eshed Ohn-Bar, Donghyun Yoo, Kris M. Kitani
SmartPartNet: Part-Informed Person Detection for Body-Worn Smartphones. WACV (2018)
Cole Gleason, Dragan Ahmetovic, Saiph Savage, Carlos Toxtli, Carl Posthuma, Chieko Asakawa, Kris M. Kitani, Jeffrey P. Bigham
Crowdsourcing the Installation and Maintenance of Indoor Localization Infrastructure to Support Blind Navigation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2 (1) (2018)
Tatsuya Ishihara, Kris M. Kitani, Chieko Asakawa, Michitaka Hirose
Deep Radio-Visual Localization. WACV (2018)
Anubhav Ashok, Nicholas Rhinehart, Fares Beainy, Kris M. Kitani
N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning. ICLR (Poster) (2018)
Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling, Kris M. Kitani
Learning Neural Parsers with Deterministic Differentiable Imitation Learning. CoRR (2018)
Minjie Cai, Kris M. Kitani, Yoichi Sato
Understanding hand-object manipulation by modeling the contextual relationship between actions, grasp types and object attributes. CoRR (2018)
Rawal Khirodkar, Donghyun Yoo, Kris M. Kitani
VADRA: Visual Adversarial Domain Randomization and Augmentation. CoRR (2018)
Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart, Yan Xu, Yilin Shen, Kris M. Kitani
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning. CoRR (2018)
Hernisa Kacorri, Eshed Ohn-Bar, Kris M. Kitani, Chieko Asakawa
Environmental Factors in Indoor Navigation Based on Real-World Trajectories of Blind Users. CHI (2018)
Arjun Sharma, Kris M. Kitani
Phase-Parametric Policies for Reinforcement Learning in Cyclic Environments. AAAI (2018)
Thanassis Rikakis, Aisling Kelliher, Jinwoo Choi, Jia-Bin Huang, Kris M. Kitani, Setor Zilevu, Steven L. Wolf
Semi-automated home-based therapy for the upper extremity of stroke survivors. PETRA (2018)
Hironori Hattori, Namhoon Lee, Vishnu Naresh Boddeti, Fares Beainy, Kris M. Kitani, Takeo Kanade
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. 126 (9) (2018)
Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling, Kris M. Kitani
Learning Neural Parsers with Deterministic Differentiable Imitation Learning. CoRL (2018)
Ryo Yonetani, Kris M. Kitani, Yoichi Sato
Ego-Surfing: Person Localization in First-Person Videos Using Ego-Motion Signatures. IEEE Trans. Pattern Anal. Mach. Intell. 40 (11) (2018)
Eshed Ohn-Bar, João Guerreiro, Dragan Ahmetovic, Kris M. Kitani, Chieko Asakawa
Modeling Expertise in Assistive Navigation Interfaces for Blind People. IUI (2018)
Xiang Xu, Xiaofang Wang, Kris M. Kitani
Error Correction Maximization for Deep Image Hashing. CoRR (2018)
Rawal Khirodkar, Donghyun Yoo, Kris M. Kitani
Domain Randomization for Scene-Specific Car Detection and Pose Estimation. CoRR (2018)
Yunze Man, Xinshuo Weng, Kris M. Kitani
GroundNet: Segmentation-Aware Monocular Ground Plane Estimation with Geometric Consistency. CoRR (2018)
João Guerreiro, Eshed Ohn-Bar, Dragan Ahmetovic, Kris M. Kitani, Chieko Asakawa
How Context and User Behavior Affect Indoor Navigation Assistance for Blind People. W4A (2018)
Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani
Efficient K-Shot Learning With Regularized Deep Networks. AAAI (2018)
Nicholas Rhinehart, Kris M. Kitani, Paul Vernaza
r2p2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting. ECCV (13) (2018)
Xiang Xu, Xiaofang Wang, Kris M. Kitani
Error Correction Maximization for Deep Image Hashing. BMVC (2018)
Tatsuya Ishihara, Jayakorn Vongkulbhisal, Kris M. Kitani, Chieko Asakawa
Beacon-Guided Structure from Motion for Smartphone-Based Navigation. WACV (2017)
Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, J. Andrew Bagnell
Predictive-State Decoders: Encoding the Future into Recurrent Networks. CoRR (2017)

Kris M. Kitani.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Kris M. Kitani