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Computer Science

D-Index
40
Citations
9382
World Ranking
9138
National Ranking
3886

Overview

Walter J. Scheirer is affiliated with the University of Notre Dame in the United States. Their research primarily spans the field of Computer Science, with a focus on Computer Vision and Pattern Recognition, Artificial Intelligence, and Cognitive Neuroscience. Additional interests extend into Sociology and Political Science as well as Biophysics.

Their recent scholarly contributions include papers on a diverse range of topics and venues. Notable publications are:

  • "Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study" (2020, IEEE Transactions on Image Processing)
  • "Privacy-Enhancing Face Biometrics: A Comprehensive Survey" (2021, IEEE Transactions on Information Forensics and Security)
  • "Bridging the Gap Between Computational Photography and Visual Recognition" (2020, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • "A Study of the Human Perception of Synthetic Faces" (2021, 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021))
  • "Automatic Discovery of Political Meme Genres with Diverse Appearances" (2021, Proceedings of the International AAAI Conference on Web and Social Media)

Their frequent collaborators include Derek S. Prijatelj, Daniel Moreira, Zachariah Carmichael, Kevin W. Bowyer, and Tim Weninger.

Walter J. Scheirer's publications appear regularly in venues such as arXiv (Cornell University), Bulletin of the Atomic Scientists, IEEE Transactions on Pattern Analysis and Machine Intelligence, bioRxiv (Cold Spring Harbor Laboratory), and IEEE Transactions on Image Processing.

Their work explores several key topics, including:

  • Anomaly Detection Techniques and Applications
  • Face recognition and analysis
  • Adversarial Robustness in Machine Learning
  • Generative Adversarial Networks and Image Synthesis
  • Misinformation and Its Impacts
  • Digital Media Forensic Detection
  • Neural dynamics and brain function

In addition to articles, they have authored books published by established academic publishers. These include A History of Fake Things on the Internet (Stanford University Press eBooks, 2023) and A Unifying Framework for Formal Theories of Novelty (Morgan & Claypool Publishers, 2023).

Best Publications

  • Toward Open Set Recognition

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

  • Probability Models for Open Set Recognition

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

  • The limits and potentials of deep learning for robotics

    Niko Sünderhauf;Oliver Brock;Walter J. Scheirer;Raia Hadsell

  • 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

  • Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

    Wenhan Yang;Ye Yuan;Wenqi Ren;Jiaying Liu

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

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

  • Authorship Attribution for Social Media Forensics

    Anderson Rocha;Walter J. Scheirer;Christopher W. Forstall;Thiago Cavalcante

  • Revocable fingerprint biotokens: accuracy and security analysis

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

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

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

  • Privacy–Enhancing Face Biometrics: A Comprehensive Survey

    Blaz Meden;Peter Rot;Philipp Terhorst;Naser Damer

  • Open Set Fingerprint Spoof Detection Across Novel Fabrication Materials

    Ajita Rattani;Walter J. Scheirer;Arun Ross

  • Learning and the Unknown: Surveying Steps toward Open World Recognition

    Terrance E. Boult;Steve Cruz;Akshay Raj Dhamija;Manuel Günther

  • Fine-tuning Deep Belief Networks using Harmony Search

    João Paulo Papa;Walter Scheirer;David Daniel Cox

  • Robust fusion: extreme value theory for recognition score normalization

    Walter Scheirer;Anderson Rocha;Ross Micheals;Terrance Boult

  • Using human brain activity to guide machine learning.

    Ruth C. Fong;Walter J. Scheirer;David D. Cox

  • Face Hallucination Using Cascaded Super-Resolution and Identity Priors

    Klemen Grm;Walter J. Scheirer;Vitomir Struc

  • Reconstruction of genetically identified neurons imaged by serial-section electron microscopy

    Maximilian Joesch;David Mankus;Masahito Yamagata;Ali Shahbazi

Frequent Co-Authors

Terrance E. Boult
Terrance E. Boult University of Colorado Colorado Springs
Patrick J. Flynn
Patrick J. Flynn University of Notre Dame
Kevin W. Bowyer
Kevin W. Bowyer University of Notre Dame
Anderson Rocha
Anderson Rocha State University of Campinas
David D. Cox
David D. Cox IBM (United States)
Michael Milford
Michael Milford Queensland University of Technology
Zhangyang Wang
Zhangyang Wang The University of Texas at Austin
João Paulo Papa
João Paulo Papa Sao Paulo State University
Hongkui Zeng
Hongkui Zeng Allen Institute for Brain Science
Ken Nakayama
Ken Nakayama Harvard University

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