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D-Index & Metrics

Computer Science

D-Index
60
Citations
15743
World Ranking
3216
National Ranking
1561

Overview

Terrance E. Boult is affiliated with the University of Colorado Colorado Springs in the United States. Their research primarily falls within the field of Computer Science, with a significant focus on Artificial Intelligence and Computer Vision and Pattern Recognition. Their scholarly contributions also span Signal Processing, Molecular Biology, and Control and Systems Engineering.

The scientist's work touches on several main topics, including:

  • Anomaly Detection Techniques and Applications
  • Domain Adaptation and Few-Shot Learning
  • Face recognition and analysis
  • Face and Expression Recognition
  • Biometric Identification and Security
  • Multimodal Machine Learning Applications
  • Data Stream Mining Techniques

Among recent papers authored or co-authored by Terrance E. Boult are:

  • "Few-Shot Class Incremental Learning Leveraging Self-Supervised Features," 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "Open-Set Support Vector Machines," 2021, published in IEEE Transactions on Systems Man and Cybernetics Systems
  • "Towards a Unifying Framework for Formal Theories of Novelty," 2021, appearing in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "On the Effect of Atmospheric Turbulence in the Feature Space of Deep Face Recognition," 2022, featured in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels," 2020, available on arXiv (Cornell University)

Frequent co-authors collaborating with Terrance E. Boult include Akshay Raj Dhamija, Ryan Rabinowitz, Chunchun Li, Mohsen Jafarzadeh, and Manuel Günther.

Publications appear often in venues such as:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Zurich Open Repository and Archive (University of Zurich)
  • IEEE Transactions on Biometrics Behavior and Identity Science
  • Proceedings of the AAAI Conference on Artificial Intelligence

Terrance E. Boult has contributed to book publications, including a work titled "A Unifying Framework for Formal Theories of Novelty" published by Morgan & Claypool Publishers in 2023.

Best Publications

  • Toward Open Set Recognition

    W. J. Scheirer;A. de Rezende Rocha;A. Sapkota;T. E. Boult

  • Towards Open Set Deep Networks

    Abhijit Bendale;Terrance E. Boult

  • Probability Models for Open Set Recognition

    Walter J. Scheirer;Lalit P. Jain;Terrance E. Boult

  • Towards Open World Recognition

    Abhijit Bendale;Terrance Boult

  • Separation of Reflection Components Using Color and Polarization

    Shree K. Nayar;Xi-Sheng Fang;Terrance Boult

  • Cracking Fuzzy Vaults and Biometric Encryption

    W.J. Scheirer;T.E. Boult

  • Multi-class Open Set Recognition Using Probability of Inclusion

    Lalit P. Jain;Walter J. Scheirer;Terrance E. Boult

  • Vision of the unseen: Current trends and challenges in digital image and video forensics

    Anderson Rocha;Walter Scheirer;Terrance Boult;Siome Goldenstein

  • The Extreme Value Machine

    Ethan M. Rudd;Lalit P. Jain;Walter J. Scheirer;Terrance E. Boult

  • Adversarial Diversity and Hard Positive Generation

    Andras Rozsa;Ethan M. Rudd;Terrance E. Boult

  • The eyes have it

    Terry Riopka;Terrance Boult

  • Meta-Recognition: The Theory and Practice of Recognition Score Analysis

    W J Scheirer;A Rocha;R J Micheals;T E Boult

  • The Overlooked Elephant of Object Detection: Open Set

    Unknown

  • System and method for driver reaction impairment vehicle exclusion via systematic measurement for assurance of reaction time

    Terrance E. Boult;Rory Lewis

  • Revocable fingerprint biotokens: accuracy and security analysis

    T. E. Boult;W. J. Scheirer;R. Woodworth

  • Into the woods: visual surveillance of noncooperative and camouflaged targets in complex outdoor settings

    T.E. Boult;R.J. Micheals;Xiang Gao;M. Eckmann

  • Multi-attribute spaces: Calibration for attribute fusion and similarity search

    Walter J. Scheirer;Neeraj Kumar;Peter N. Belhumeur;Terrance E. Boult

  • Factorization-based segmentation of motions

    T.E. Boult;L. Gottesfeld Brown

  • MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes

    Ethan M. Rudd;Manuel Günther;Terrance E. Boult

  • Registration of planar film radiographs with computed tomography

    L.M. Gottesfeld Brown;T.E. Boult

  • Error analysis of background adaption

    Xiang Gao;T.E. Boult;F. Coetzee;V. Ramesh

  • Reducing Network Agnostophobia

    Akshay Raj Dhamija;Manuel Günther;Terrance E. Boult

Frequent Co-Authors

Walter J. Scheirer
Walter J. Scheirer University of Notre Dame
Visvanathan Ramesh
Visvanathan Ramesh Goethe University Frankfurt
Anderson Rocha
Anderson Rocha State University of Campinas
Shree K. Nayar
Shree K. Nayar Columbia University
Peter N. Belhumeur
Peter N. Belhumeur Columbia University
Josef Kittler
Josef Kittler University of Surrey
Dorin Comaniciu
Dorin Comaniciu Siemens (United States)
David Forsyth
David Forsyth University of Illinois at Urbana-Champaign
Martial Hebert
Martial Hebert Carnegie Mellon University
Deva Ramanan
Deva Ramanan Carnegie Mellon University

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