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Walter J. Scheirer

Walter J. Scheirer. Assistant Professor in the Department of Computer Science and Engineering. University of Notre Dame. 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. Walter J. Scheirer.

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Walter Scheirer

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Walter J. Scheirer | wjscheirer.com Reviews
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Walter J. Scheirer. Assistant Professor in the Department of Computer Science and Engineering. University of Notre Dame. 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. Walter J. Scheirer.
<META>
KEYWORDS
1 publications
2 projects
3 talks
4 github
5 wscheire@nd edu
6 wjscheirer
7 research overview
8 news
9 if you're interested
10 curriculum vitae
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publications,projects,talks,github,wscheire@nd edu,wjscheirer,research overview,news,if you're interested,curriculum vitae,pdf format,ajita rattani,arun ross,supp material,bibtex,neil coffee,accepted september 2014,errata,ken nakayama,michael wilber
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Walter J. Scheirer | wjscheirer.com Reviews

https://wjscheirer.com

Walter J. Scheirer. Assistant Professor in the Department of Computer Science and Engineering. University of Notre Dame. 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. Walter J. Scheirer.

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1

Extreme Value Theory for Visual Recognition

http://www.wjscheirer.com/projects/meta-recognition

Walter J. Scheirer. Extreme Value Theory for Visual Recognition. Keywords: calibration, meta-recognition, score analysis, object recognition, face recognition, attributes. Spring 2008 - Present. This work was supported by ONR SBIR Award No. N00014-11-C-0243, ONR STTR Award No. N000-14-07-M-0421, ONR MURI Award No. N00014-08-1-0638, and DHS SBIR Award No. NBCHC080054. Probability Models for Open Set Recognition,". Walter J. Scheirer. Lalit P. Jain. Terrance E. Boult. Article{Scheirer 2014 TPAMIb,. Author ...

2

Digital Image and Video Forensics

http://www.wjscheirer.com/projects/image-forensics

Walter J. Scheirer. Digital Image and Video Forensics. Keywords: forensics, forgery detection, data hiding, source identification, sensor fingerprinting. Spring 2008 - Present. Digital images are everywhere - from our cell phones to the pages of our online news sites. How we choose to use digital image processing raises a surprising host of legal and ethical questions that we must address. What are the ramifications of hiding data within an innocent image? Filipe de O. Costa. Walter J. Scheirer. Journal ...

3

Publications

http://www.wjscheirer.com/publications

Walter J. Scheirer. The Sense of a Connection: Automatic Tracing of Intertextuality by Meaning,". Walter J. Scheirer. Christopher W. Forstall. Literary and Linguistic Computing (LLC),. Article{Scheirer 2016 LLC,. Author = {Walter J. Scheirer and Christopher W. Forstall and Neil Coffee},. Title = {The Sense of a Connection: Automatic Tracing of Intertextuality by Meaning},. Journal = {Literary and Linguistic Computing (LLC)},. Volume = {31},. Issue = {1},. Month = {April},. Walter J. Scheirer. Article{Sch...

4

Good Recognition is Non-metric

http://www.wjscheirer.com/projects/non-metric

Walter J. Scheirer. Good Recognition is Non-metric. Keywords: machine learning, metric learning, recognition, face recognition, object recognition. Fall 2012 - Spring 2014. Good Recognition is Non-metric,". Walter J. Scheirer. Terrance E. Boult. Article{Scheirer 2014 PR,. Author = {Walter J. Scheirer and Michael Wilber and Michael Eckmann and Terrance E. Boult},. Title = {Good Recognition is Non-metric},. Journal = {Pattern Recognition},. Volume = {47},. Issue = {8},. Month = {August},.

5

Language & Literature

http://www.wjscheirer.com/projects/language-literature

Walter J. Scheirer. Keywords: computational linguistics, intertextuality, sound, stylistics, classics, authorship attribution. Spring 2009 - Present. This work is supported by NEH Digital Humanities Start-Up Grant Award No. HD-51570-12. The Sense of a Connection: Automatic Tracing of Intertextuality by Meaning,". Walter J. Scheirer. Christopher W. Forstall. Digital Scholarship in the Humanities (DSH),. Article{Scheirer 2016 LLC,. Journal = {Digital Scholarship in the Humanities (DSH)},. Volume = {31},.

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neerajkumar.org neerajkumar.org

Refereed Publications | Neeraj Kumar

http://www.neerajkumar.org/publications

Citations to my work (on Google Scholar). Photo Recall: Using the Internet to Label Your Photos,". 2nd Workshop on Web-scale Vision and Social Media (VSM) at CVPR 2014,. Author = {Neeraj Kumar and Steven Seitz},. Title = {Photo Recall: Using the Internet to Label Your Photos},. Booktitle = {2nd Workshop on Web-scale Vision and Social Media (VSM) at CVPR 2014},. Month = {June},. Photo Recall: Using the Internet to Label Your Photos," (extended abstract). Author = {Neeraj Kumar and Steven Seitz},. Author =...

neerajkumar.org neerajkumar.org

Multi-Attribute Spaces: Calibration for Attribute Fusion and Similarity Search | Neeraj Kumar

http://www.neerajkumar.org/projects/attribute-spaces

Multi-Attribute Spaces: Calibration for Attribute Fusion and Similarity Search. Keywords: face search, attributes, calibration, normalization, extreme value theory, w-scores. Fall 2011 - Summer 2012. This research was supported in part by ONR SBIR Award N00014-11-C-0243 and ONR MURI Award N00014-08-1-0638. Multi-Attribute Spaces: Calibration for Attribute Fusion and Similarity Search,". Peter N. Belhumeur. Terrance E. Boult. Month = {June},. MugHunt Online Face Search Engine:. An overview of the score ca...

metarecognition.com metarecognition.com

Open-set with Kernels | Meta-Recognition: Tools for Improving Recognition Systems

http://www.metarecognition.com/open-set-with-kernels

Meta-Recognition: Tools for Improving Recognition Systems. Recognizing when Recognition Systems Fail. Skip to primary content. Skip to secondary content. Open Set via 1-vs-Set Machine. We have extended the Open set paradigm with two different papers using Kernel Machines and a much more comprehensive theory. See the following papers. Source code is available at https:/ github.com/ljain2/libsvm-openset. Probability Models for Open Set Recognition,”. Walter J. Scheirer. Lalit P. Jain. Terrance E. Boult.

classics.cas2.lehigh.edu classics.cas2.lehigh.edu

News | Classical Studies

http://www.classics.cas2.lehigh.edu/news

College of Arts and Sciences. Jessica Paul, B.A.'97. After graduation I went on get a masters in architecture at Columbia University, and I worked for a number of years in that field in New York before starting an architectural photography studio that serves the region. I’ve even found time recently to write two novels while raising two toddlers. Which college classes served as the foundation for developing my writing skills? Funny enough, what I learned in Latin class. In Gattingen, Germany, and the Fon...

vast.uccs.edu vast.uccs.edu

VAST Lab » Open Vision (NSF IIS-1320956)

http://vast.uccs.edu/project/open-vision-nsf

Open Vision (NSF IIS-1320956). EASE: Learning and Sensory-based Engagement, Arousal and Self-Efficacy (EASE) modeling. UCCS Ph.D Status Form. Open Vision (NSF IIS-1320956). We call this effort OpenVision for two reasons: 1) because we present a vision for open set recognition problems that will advance core science in vision and machine learning and 2) because we will develop open source recognition tools that will apply across many domains. Open Set via 1-vs-Set Machine. Walter J. Scheirer. UPDATE: to s...

cvpr2017.thecvf.com cvpr2017.thecvf.com

CVPR2017

http://cvpr2017.thecvf.com/organizers

Registration Chair and Event Planner. Email general and program chairs. University of Maryland, College Park. Georgia Institute of Technology. University at Albany - SUNY. University of Notre Dame. XiAn Jiao Tong University. Registration Chair and Event Planner. C to C Events. Area chairs can be found here.

ijcb2017.org ijcb2017.org

IJCB 2017 Oranizers

http://www.ijcb2017.org/ijcb2017/organizers.php

Colorado State University, USA. Chinese Academy of Sciences, China. University of Southampton, UK. Universidade Federal do Espirito Santo, Brazil. Rutgers University, USA. University of Notre Dame, USA. University of Denver, USA. University of Colorado Colorado Springs, USA. Tsinghua University, China. Warsaw University of Technology, Poland. Federal University of Minas Gerais, Brazil. Microsoft Research Asia, China. University of Florida, USA. University of Notre Dame, USA. University of Notre Dame, USA.

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Walter J. Scheirer

Walter J. Scheirer. Assistant Professor in the Department of Computer Science and Engineering. University of Notre Dame. 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. Walter J. Scheirer.

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