World's Best Scientists 2026 revealed!
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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
133
Citations
88150
World Ranking
92
National Ranking
57

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2019 - Fellow, National Academy of Inventors
  • 2009 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2008 - SPIE Fellow
  • 2006 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to motion-based recognition and shape from shading in computer vision.
  • 2003 - IEEE Fellow For contributions to motion-based recognition and shape from shading in computer vision

Overview

Mubarak Shah is affiliated with the University of Central Florida in the United States. Their primary field of study is computer science, with a particular focus on computer vision and pattern recognition. They have addressed multiple subfields, including artificial intelligence, aerospace engineering, biomedical engineering, and radiology, nuclear medicine, and imaging.

Their research interests span several main topics such as:

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

Mubarak Shah has published extensively in a variety of venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Computer Vision and Image Understanding
  • ACM Computing Surveys
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Among recent papers authored or co-authored by Shah are:

  • "UCF-101: A dataset of 101 human actions classes from videos in the wild" (2024), published in arXiv (Cornell University)
  • "Deep Learning-based Human Pose Estimation: A Survey" (2023), published in ACM Computing Surveys
  • "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" (2021), published in arXiv (Cornell University)
  • "Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "OW-DETR: Open-world Detection Transformer" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their frequent collaborators include Fahad Shahbaz Khan, Ajmal Mian, Mamshad Nayeem Rizve, Ishan Rajendrakumar Dave, and Salman Khan.

Awards received by Mubarak Shah throughout their career include:

  • Fellow, National Academy of Inventors, awarded in 2019
  • Fellow of the American Association for the Advancement of Science (AAAS), awarded in 2009
  • SPIE Fellow, awarded in 2008
  • Fellow of the International Association for Pattern Recognition (IAPR), awarded in 2006, for contributions to motion-based recognition and shape from shading in computer vision
  • IEEE Fellow, awarded in 2003, for contributions to motion-based recognition and shape from shading in computer vision

Best Publications

  • Object tracking: A survey

    Alper Yilmaz;Omar Javed;Mubarak Shah

  • UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

    Khurram Soomro;Amir Roshan Zamir;Mubarak Shah

  • Shape-from-shading: a survey

    Ruo Zhang;Ping-Sing Tsai;J.E. Cryer;M. Shah

  • A 3-dimensional sift descriptor and its application to action recognition

    Paul Scovanner;Saad Ali;Mubarak Shah

  • Abnormal crowd behavior detection using social force model

    Ramin Mehran;Alexis Oyama;Mubarak Shah

  • A fast algorithm for active contours and curvature estimation

    Donna J. Williams;Mubarak Shah

  • Visual Tracking: An Experimental Survey

    Arnold W. M. Smeulders;Dung M. Chu;Rita Cucchiara;Simone Calderara

  • Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition

    M.D. Rodriguez;J. Ahmed;M. Shah

  • Real-World Anomaly Detection in Surveillance Videos

    Waqas Sultani;Chen Chen;Mubarak Shah

  • Recognizing realistic actions from videos “in the wild”

    Jingen Liu;Jiebo Luo;Mubarak Shah

  • Visual attention detection in video sequences using spatiotemporal cues

    Yun Zhai;Mubarak Shah

  • Multi-source Multi-scale Counting in Extremely Dense Crowd Images

    Haroon Idrees;Imran Saleemi;Cody Seibert;Mubarak Shah

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

    Sangmin Oh;Anthony Hoogs;Amitha Perera;Naresh Cuntoor

  • Bayesian modeling of dynamic scenes for object detection

    Y. Sheikh;M. Shah

  • Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds

    Haroon Idrees;Muhmmad Tayyab;Kishan Athrey;Dong Zhang

  • Recognizing 50 human action categories of web videos

    Kishore K. Reddy;Mubarak Shah

  • Contour-based object tracking with occlusion handling in video acquired using mobile cameras

    A. Yilmaz;Xin Li;M. Shah

  • A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis

    S. Ali;M. Shah

  • Deep Learning-based Human Pose Estimation: A Survey

    Unknown

  • Motion-based recognition a survey

    Claudette Cédras;Mubarak Shah

  • The THUMOS challenge on action recognition for videos “in the wild”

    Haroon Idrees;Amir Roshan Zamir;Yu-Gang Jiang;Alex Gorban

  • Recognizing realistic actions from videos .

    Jingen Liu;Jiebo Luo;Mubarak Shah

Frequent Co-Authors

Yaser Sheikh
Yaser Sheikh Facebook (United States)
Amir Roshan Zamir
Amir Roshan Zamir Stanford University
Rahul Sukthankar
Rahul Sukthankar Google (United States)
Concetto Spampinato
Concetto Spampinato University of Catania
Pingkun Yan
Pingkun Yan Rensselaer Polytechnic Institute
Andrew Miller
Andrew Miller University of Illinois at Urbana-Champaign
Boqing Gong
Boqing Gong Google (United States)
Ajmal Mian
Ajmal Mian University of Western Australia
George Bebis
George Bebis University of Nevada Reno
Larry S. Davis
Larry S. Davis University of Maryland, College Park

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