World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
15825
World Ranking
2345
National Ranking
1167

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to video-based tracking and behavior analysis
  • 2016 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to collaborative sensing and distributed processing in camera networks with applications in tracking, re-identification, and activity recognition

Overview

Amit K. Roy-Chowdhury is affiliated with the University of California, Riverside in the United States. Their research primarily spans the field of Computer Science, with a particular focus on Computer Vision and Pattern Recognition, Artificial Intelligence, and related subfields. Their work also extends into Biomedical Engineering and areas connected to Radiology and Imaging.

Their research interests encompass a range of specialized topics, including:

  • Domain Adaptation and Few-Shot Learning
  • Adversarial Robustness in Machine Learning
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Video Surveillance and Tracking Methods
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications

Amit K. Roy-Chowdhury has contributed extensively to a variety of academic venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Notable recent publications authored or co-authored by them are:

  • "Learning Person Re-Identification Models From Videos With Weak Supervision," 2021, IEEE Transactions on Image Processing
  • "Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-Identification," 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • "Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "A Two-Stage Noise-Tolerant Paradigm for Label Corrupted Person Re-Identification," 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Detection and Localization of Facial Expression Manipulations," 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

They have also contributed to book publications, including "Person Re-identification with Limited Supervision," published by Morgan & Claypool Publishers in 2021.

Amit K. Roy-Chowdhury collaborates frequently with a number of researchers. Their frequent co-authors include:

  • Dripta S. Raychaudhuri
  • Srikanth V. Krishnamurthy
  • Chengyu Song
  • Abhishek Aich
  • Shasha Li

Amit K. Roy-Chowdhury's contributions to video-based tracking, behavior analysis, and distributed processing in camera networks have been recognized through prestigious awards. These include the IEEE Fellow designation in 2019, given for contributions to video-based tracking and behavior analysis, and Fellowship in the International Association for Pattern Recognition (IAPR) awarded in 2016 for work in collaborative sensing, distributed processing in camera networks, and applications in tracking, re-identification, and activity recognition.

Best Publications

  • Learning Temporal Regularity in Video Sequences

    Mahmudul Hasan;Jonghyun Choi;Jan Neumann;Amit K. Roy-Chowdhury

  • A large-scale benchmark dataset for event recognition in surveillance video

    Sangmin Oh;Anthony Hoogs;Amitha Perera;Naresh Cuntoor

  • Identification of humans using gait

    A. Kale;A. Sundaresan;A.N. Rajagopalan;N.P. Cuntoor

  • Matching shape sequences in video with applications in human movement analysis

    Veeraraghavan A;A.K. Roy-Chowdhury;R. Chellappa

  • Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries

    Jawadul H. Bappy;Cody Simons;Lakshmanan Nataraj;B. S. Manjunath

  • W-TALC: Weakly-Supervised Temporal Activity Localization and Classification

    Sujoy Paul;Sourya Roy;Amit K. Roy-Chowdhury

  • Information Weighted Consensus Filters and Their Application in Distributed Camera Networks

    Ahmed T. Kamal;Jay A. Farrell;Amit K. Roy-Chowdhury

  • Detecting GAN generated Fake Images using Co-occurrence Matrices.

    Lakshmanan Nataraj;Tajuddin Manhar Mohammed;B. S. Manjunath;Shivkumar Chandrasekaran

  • Towards a view invariant gait recognition algorithm

    A. Kale;A.K.R. Chowdhury;R. Chellappa

  • A hidden Markov model based framework for recognition of humans from gait sequences

    Aravind Sundaresan;Amit RoyChowdhury;Rama Chellappa

  • Exploiting Spatial Structure for Localizing Manipulated Image Regions

    Jawadul H. Bappy;Amit K. Roy-Chowdhury;Jason Bunk;Lakshmanan Nataraj

  • Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text Retrieval

    Niluthpol Chowdhury Mithun;Juncheng Li;Florian Metze;Amit K. Roy-Chowdhury

  • The Function Space of an Activity

    A. Veeraraghavan;R. Chellappa;A.K. Roy-Chowdhury

  • Consistent Re-identification in a Camera Network

    Abir Das;Anirban Chakraborty;Amit K. Roy-Chowdhury

  • Activity recognition using the dynamics of the configuration of interacting objects

    N. Vaswani;A. Roy Chowdhury;R. Chellappa

  • Weakly Supervised Video Moment Retrieval From Text Queries

    Niluthpol Chowdhury Mithun;Sujoy Paul;Amit K. Roy-Chowdhury

  • A system identification approach for video-based face recognition

    G. Aggarwal;A.K.R. Chowdhury;R. Chellappa

  • An overview of contest on semantic description of human activities (SDHA) 2010

    M. S. Ryoo;Chia-Chih Chen;J. K. Aggarwal;Amit Roy-Chowdhury

  • "Shape Activity": a continuous-state HMM for moving/deforming shapes with application to abnormal activity detection

    N. Vaswani;A.K. Roy-Chowdhury;R. Chellappa

  • A “string of feature graphs” model for recognition of complex activities in natural videos

    U. Gaur;Y. Zhu;B. Song;A. Roy-Chowdhury

  • AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video

    Sangmin Oh;Anthony Hoogs;Amitha Perera;Naresh Cuntoor

  • Detecting GAN generated Fake Images using Co-occurrence Matrices

    Lakshmanan Nataraj;Tajuddin Manhar Mohammed;Shivkumar Chandrasekaran;Arjuna Flenner

Frequent Co-Authors

Jay A. Farrell
Jay A. Farrell University of California, Riverside
Rama Chellappa
Rama Chellappa Johns Hopkins University
B.S. Manjunath
B.S. Manjunath University of California, Santa Barbara
Srikanth V. Krishnamurthy
Srikanth V. Krishnamurthy University of California, Riverside
Bir Bhanu
Bir Bhanu University of California, Riverside
Larry S. Davis
Larry S. Davis University of Maryland, College Park
Namrata Vaswani
Namrata Vaswani Iowa State University
Ashok Veeraraghavan
Ashok Veeraraghavan Rice University
Christian Micheloni
Christian Micheloni University of Udine
Jake K. Aggarwal
Jake K. Aggarwal The University of Texas at Austin

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