wscheirer@fas.harvard.edu

Postdoctoral Fellow in the Department of Molecular and Cellular Biology,
Department of Computer Science, and Center for Brain Science,
Harvard University and

Assistant Professor Adjoint in the Department of Computer Science,
University of Colorado, Colorado Springs.

Research Overview

My research is primarily focused around the problem of recognition, including the representations and algorithms supporting solutions to it. I am particularly interested in features and learning-based methods that apply to both vision and language, thus breaking away from the persistent compartmentalization of recognition tasks (something hinted at by David Marr over 30 years ago). This has led to some interesting, and often unconventional approaches that can be applied to a broad set of areas including computer vision, machine learning, human biometrics, computational linguistics, and even literary study. Specifically, my work is looking at data fusion, the theory of recognition systems, open set recognition, and a variety of useful attribute-based and statistical features for learning.


Walter J. Scheirer

Curriculum Vitae

PDF Format

Recent Publications (see all)

  1. "Towards Open Set Recognition," (forthcoming)
    Walter J. Scheirer, Anderson Rocha, Archana Sapkota, Terrance E. Boult,
    IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI),
    July 2013.
    [pdf]
    [bibtex]
    @article{Scheirer_2013_TPAMI,
    author = {Walter J. Scheirer and Anderson Rocha and Archana Sapkota and Terrance E. Boult},
    title = {Towards Open Set Recognition},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)},
    note={To appear, preprint at \url{http://www.wjscheirer.com/papers/wjs_tpami2013_openset.pdf}},
    year = {2013}
    }
  2. "Learning for Meta-Recognition,"
    Walter J. Scheirer, Anderson Rocha, Jonathan Parris, Terrance E. Boult,
    IEEE Transactions on Information Forensics and Security (T-IFS),
    August 2012.
    [pdf]
    [bibtex]
    @article{Scheirer_2012_TIFS,
    author = {Walter J. Scheirer and Anderson Rocha and Jonathan Parris and Terrance E. Boult},
    title = {Learning for Meta-Recognition},
    journal = {IEEE Transactions on Information Forensics and Security (TIFS)},
    volume = {7},
    issue = {4},
    month = {August},
    year = {2012}
    }
  3. "Multi-Attribute Spaces: Calibration for Attribute Fusion and Similarity Search,"
    Walter J. Scheirer, Neeraj Kumar, Peter N. Belhumeur, Terrance E. Boult,
    Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
    June 2012.
    [pdf]
    [bibtex]
    @InProceedings{Scheirer_2012_CVPR,
    author = {Walter J. Scheirer and Neeraj Kumar and Peter N. Belhumeur and Terrance E. Boult},
    title = {Multi-Attribute Spaces: Calibration for Attribute Fusion and Similarity Search},
    booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {June},
    year = {2012}
    }
  4. "Vision of the Unseen: Current Trends and Challenges in Digital Image and Video Forensics,"
    Anderson Rocha, Walter J. Scheirer, Terrance E. Boult, Siome Goldenstein,
    ACM Computing Surveys (CSUR),
    October 2011.
    [pdf]
    [bibtex]
    @InProceedings{Rocha_2011_CSUR,
    author = {Anderson Rocha and Walter J. Scheirer and Terrance E. Boult and Siome Goldenstein},
    title = {Vision of the Unseen: Current Trends and Challenges in Digital Image and Video Forensics},
    journal = {ACM Computing Surveys (CSUR)},
    volume = {43},
    issue = {4},
    month = {October},
    year = {2011}
    }
  5. "Evidence of Intertextuality: Investigating Paul the Deacon's Angustae Vitae,"
    Christopher W. Forstall, Sarah Jacobson, Walter J. Scheirer,
    Literary & Linguistic Computing (LLC),
    September 2011.
    [pdf]
    [bibtex]
    @article{Forstall_2011_LLC,
    author = {Christopher W. Forstall and Sarah Jacobson and Walter J. Scheirer},
    title = {Evidence of Intertextuality: Investigating Paul the Deacon's Angustae Vitae},
    journal = {Literary \& Linguistic Computing (LLC)},
    month = {September},
    volume = {26},
    issue = {3},
    pages = {285--296},
    year = {2011}
    }

Recent Projects (see all)

Open Set Recognition

Open Set Recognition

Spring 2011 - Present

Theory and algorithms that address the difficult problem of training without complete class knowledge

Keywords: machine learning, object recognition, face recognition, support vector machines, 1-vs-set machine
Meta-Recognition

Meta-Recognition

Spring 2008 - Present

The theory and practice of recognition score analysis for prediction and fusion

Keywords: data fusion, object recognition, face recognition, similarity scores, extreme value theory
Language and Literature

Language & Literature

Spring 2009 - Present

Machine learning and related statistical methods to improve the process by which intertextuality is studied

Keywords: computational linguistics, intertextuality, sound, stylistics, classics, authorship attribution
Unconstrained Face Recognition

Unconstrained Face Recognition

Spring 2008 - Present

Feature localization and recognition considering difficult circumstances such as low light, long distance, blur and noise

Keywords: optics, sensors, eye detection, face recognition, feature descriptors, data fusion, evaluation
Digital Image and Video Forensics

Digital Image and Video Forensics

Spring 2008 - Present

Approaches to steganalysis, forgery detection and sensor fingerprinting

Keywords: forensics, forgery detection, data hiding, source identification, sensor fingerprinting
Revocable Biotokens

Revocable Biotokens

Fall 2007 - Present

Combining cryptography and biometrics to support identity specific protocols in potentially insecure environments

Keywords: template protection, fingerprint verification, face verification, cryptography, security, real-world

Recent Talks (see all)

Activities