World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
43964
World Ranking
2977
National Ranking
1457

Research.com Recognitions

  • 2020 - ACM Fellow For contributions to face recognition, computer vision, and multimodal interaction
  • 2014 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision and vision based interaction
  • 2013 - IEEE Fellow For contributions to computer vision and perceptual interfaces
  • 2007 - ACM Senior Member

Overview

Matthew Turk is affiliated with the Toyota Technological Institute at Chicago in the United States. Their research spans several areas within computer science, emphasizing subfields such as computer vision and pattern recognition, artificial intelligence, human-computer interaction, cognitive neuroscience, and general social sciences.

Their recent publications reflect diverse interests and multidisciplinary approaches. Notable recent papers include:

  • "Vision-Based Interfaces for Character-Based Text Entry: Comparison of Errors and Error Correction Properties of Eye Typing and Head Typing," 2023, Advances in Human-Computer Interaction
  • "TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models," 2023, arXiv (Cornell University)
  • "Which Humans? Inclusivity and Representation in Human-Centered AI," 2025, arXiv (Cornell University)
  • "BiasConnect: Investigating Bias Interactions in Text-to-Image Models," 2025, arXiv (Cornell University)

Their collaborative work involves frequent coauthors such as Aditya Chinchure, Pushkar Shukla, Kartik Hosanagar, Leonid Sigal, and Gaurav Bhatt.

Matthew Turk has contributed publications primarily to venues like arXiv (Cornell University) and Advances in Human-Computer Interaction.

Their research topics address various aspects of generative adversarial networks and image synthesis, multimodal machine learning applications, topic modeling, gaze tracking and assistive technology, tactile and sensory interactions, interactive and immersive displays, as well as explainable artificial intelligence (XAI).

  • Generative Adversarial Networks and Image Synthesis
  • Multimodal Machine Learning Applications
  • Topic Modeling
  • Gaze Tracking and Assistive Technology
  • Tactile and Sensory Interactions
  • Interactive and Immersive Displays
  • Explainable Artificial Intelligence (XAI)

Recognition of their work includes distinctions such as the ACM Fellow awarded in 2020 for contributions to face recognition, computer vision, and multimodal interaction. Other honors include being named a fellow of the International Association for Pattern Recognition (IAPR) in 2014 for advances in computer vision and vision-based interaction, an IEEE Fellow in 2013 for work in computer vision and perceptual interfaces, and ACM Senior Member status since 2007.

Best Publications

  • Eigenfaces for recognition

    Matthew Turk;Alex Pentland

  • Face recognition using eigenfaces

    M.A. Turk;A.P. Pentland

  • Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking

    Steffen Gauglitz;Tobias Höllerer;Matthew Turk

  • VITS-a vision system for autonomous land vehicle navigation

    M.A. Turk;D.G. Morgenthaler;K.D. Gremban;M. Marra

  • Review Article: Multimodal interaction: A review

    Matthew Turk

  • A face recognition system

    Alex P Pentland;Matthew A. Turk

  • Perceptual user interfaces

    Matthew Turk

  • System and method for visually tracking occluded objects in real time

    Nebojsa Jojic;Matthew A. Turk

  • Robust hand detection

    M. Kolsch;M. Turk

  • Transformed Social Interaction: Decoupling Representation from Behavior and Form in Collaborative Virtual Environments

    Jeremy N. Bailenson;Andrew C. Beall;Jack Loomis;Jim Blascovich

  • Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging

    Ramesh Raskar;Kar-Han Tan;Rogerio Feris;Jingyi Yu

  • View-based interpretation of real-time optical flow for gesture recognition

    R. Cutler;M. Turk

  • Perceptual user interfaces (introduction)

    Matthew Turk;George Robertson

  • Manifold based analysis of facial expression

    Ya Chang;Changbo Hu;Rogerio Feris;Matthew Turk

  • Gesture modeling and recognition using finite state machines

    Pengyu Hong;M. Turk;T.S. Huang

  • Effective representation using ICA for face recognition robust to local distortion and partial occlusion

    Jongsun Kim;Jongmoo Choi;Juneho Yi;M. Turk

  • Fast 2D Hand Tracking with Flocks of Features and Multi-Cue Integration

    M. Kolsch;M. Turk

  • Attribute-based people search in surveillance environments

    Daniel A. Vaquero;Rogerio S. Feris;Duan Tran;Lisa Brown

  • FISHER NON-NEGATIVE MATRIX FACTORIZATION FOR LEARNING LOCAL FEATURES

    Yuan Wang;Yunde Jia;Changbo Hu;Matthew Turk

  • World-stabilized annotations and virtual scene navigation for remote collaboration

    Steffen Gauglitz;Benjamin Nuernberger;Matthew Turk;Tobias Höllerer

Frequent Co-Authors

Tobias Höllerer
Tobias Höllerer University of California, Santa Barbara
Rogerio Feris
Rogerio Feris IBM (United States)
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Nebojsa Jojic
Nebojsa Jojic Microsoft (United States)
Andrew C. Beall
Andrew C. Beall University of California, Santa Barbara
Yong Rui
Yong Rui Lenovo (China)
Klara Nahrstedt
Klara Nahrstedt University of Illinois at Urbana-Champaign
Joao P. Hespanha
Joao P. Hespanha University of California, Santa Barbara

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