Kitani, Kris

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

Cao, J., Pang, J., Weng, X., Khirodkar, R., & Kitani, K. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsTarget Tracking and Data Fusion in Sensor Networks

Cited by 1,115

Activity Forecasting

Kitani, K. M., Ziebart, B. D., Bagnell, J. A., & Hebert, M. (2012) · Lecture Notes in Computer Science

Video Surveillance and Tracking MethodsContext-Aware Activity Recognition Systems

Cited by 701

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Grauman, K., Westbury, A., Byrne, E., Chavis, Z., Furnari, A., Girdhar, R., Hamburger, J., Jiang, H., Liu, M., Liu, X., et al. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 630

No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency

Golestaneh, S. A., Dadsetan, S., & Kitani, K. M. (2022) · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Image and Video Quality AssessmentDigital Media Forensic Detection

Cited by 465

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion

Rempe, D., Luo, Z., Peng, X. B., Yuan, Y., Kitani, K., Kreis, K., Fidler, S., & Litany, O. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Motion and AnimationEvacuation and Crowd Dynamics

Cited by 97

Impact of Expertise on Interaction Preferences for Navigation Assistance of Visually Impaired Individuals

Ahmetovic, D., Guerreiro, J., Ohn-Bar, E., Kitani, K. M., & Asakawa, C. (2019) · Proceedings of the 16th International Web for All Conference

Tactile and Sensory InteractionsAssistive Technology in Communication and Mobility

Cited by 36

Neural Batch Sampling with Reinforcement Learning for Semi-supervised Anomaly Detection

Chu, W.-H., & Kitani, K. M. (2020) · Lecture Notes in Computer Science

Anomaly Detection Techniques and ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 34

Universal humanoid motion representations for physics-based control

Luo, Z., Cao, J., Merel, J., Winkler, A., Huang, J., Kitani, K., & Xu, W. (2023) · arXiv

Human Motion and AnimationReinforcement Learning in Robotics

Cited by 10

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

Grauman, K., Westbury, A., Torresani, L., Kitani, K., Malik, J., Afouras, T., Ashutosh, K., Baiyya, V., Bansal, S., Boote, B., et al. (2025) · International Journal of Computer Vision

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 3

Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning

Luo, Z., Tessler, C., Lin, T., Yuan, Y., He, T., Xiao, W., Guo, Y., Chechik, G., Kitani, K., Fan, L., et al. (2025) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 0