World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
20758
World Ranking
2292
National Ranking
1145

Overview

Kris M. Kitani is affiliated with Carnegie Mellon University in the United States. Their research spans multiple areas within computer science and engineering, with a strong emphasis on computer vision and artificial intelligence.

Their recent publications include the following papers:

  • AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Ego4D: Around the World in 3,000 Hours of Egocentric Video, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Rethinking Transformer-based Set Prediction for Object Detection, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their frequent co-authors include:

  • Xinshuo Weng
  • Zhengyi Luo
  • Ye Yuan
  • Jinkun Cao
  • Rawal Khirodkar

Kris M. Kitani has published extensively in the following venues:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Zenodo (CERN European Organization for Nuclear Research)

Their main fields of study are:

  • Computer Science
  • Engineering

Within these fields, Kris M. Kitani focuses on subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Control and Systems Engineering
  • Aerospace Engineering
  • Automotive Engineering

Their research covers multiple main topics including:

  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Human Motion and Animation
  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • Domain Adaptation and Few-Shot Learning

Best Publications

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • Human motion trajectory prediction: a survey:

    Andrey Rudenko;Andrey Rudenko;Luigi Palmieri;Michael Herman;Kris M. Kitani

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

    Unknown

  • Activity forecasting

    Kris M. Kitani;Brian D. Ziebart;James Andrew Bagnell;Martial Hebert

  • 3D Multi-Object Tracking: A Baseline and New Evaluation Metrics

    Xinshuo Weng;Jianren Wang;David Held;Kris Kitani

  • AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting

    Ye Yuan;Xinshuo Weng;Yanglan Ou;Kris M. Kitani

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

    Kristen Grauman;Andrew Westbury;Eugene Byrne;Zachary Chavis

  • DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion

    Unknown

  • PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings

    Nicholas Rhinehart;Rowan Mcallister;Kris Kitani;Sergey Levine

  • Going Deeper into First-Person Activity Recognition

    Minghuang Ma;Haoqi Fan;Kris M. Kitani

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

    S. Alireza Golestaneh;Saba Dadsetan;Kris M. Kitani

  • Rethinking Transformer-Based Set Prediction for Object Detection

    Zhiqing Sun;Shengcao Cao;Yiming Yang;Kris M. Kitani

  • Pixel-Level Hand Detection in Ego-centric Videos

    Cheng Li;Kris M. Kitani

  • Fast unsupervised ego-action learning for first-person sports videos

    Kris M. Kitani;Takahiro Okabe;Yoichi Sato;Akihiro Sugimoto

  • NavCog: a navigational cognitive assistant for the blind

    Dragan Ahmetovic;Cole Gleason;Chengxiong Ruan;Kris Kitani

  • Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud

    Xinshuo Weng;Kris Kitani

  • Joint Object Detection and Multi-Object Tracking with Graph Neural Networks

    Yongxin Wang;Kris Kitani;Xinshuo Weng

  • Cross-Domain Adaptive Teacher for Object Detection

    Unknown

  • Deep OC-Sort: Multi-Pedestrian Tracking by Adaptive Re-Identification

    Unknown

  • R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting

    Nicholas Rhinehart;Kris M. Kitani;Paul Vernaza

  • GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning

    Xinshuo Weng;Yongxin Wang;Yunze Man;Kris M. Kitani

  • Deep Supervised Hashing with Triplet Labels

    Xiaofang Wang;Yi Shi;Kris M. Kitani

  • Learning scene-specific pedestrian detectors without real data

    Hironori Hattori;Vishnu Naresh Boddeti;Kris Kitani;Takeo Kanade

Frequent Co-Authors

Chieko Asakawa
Chieko Asakawa Carnegie Mellon University
Yoichi Sato
Yoichi Sato University of Tokyo
Hideki Koike
Hideki Koike Tokyo Institute of Technology
Hironobu Takagi
Hironobu Takagi IBM (United States)
Martial Hebert
Martial Hebert Carnegie Mellon University
Jeffrey P. Bigham
Jeffrey P. Bigham Carnegie Mellon University
Sergey Levine
Sergey Levine University of California, Berkeley
Michael S. Ryoo
Michael S. Ryoo Stony Brook University
Masayuki Murata
Masayuki Murata Osaka University
Takeo Kanade
Takeo Kanade Carnegie Mellon University

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