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Kevin W. Bowyer

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

120

Venues

21

Active years

1983–2026

Best venue rank

A*

Where they publish

Papers

120 indexed papers, newest first.

YearVenueTitleAuthors
2026WACVWhen Probe and Gallery Are Low Quality: Decreasing Accuracy and Increasing Demographic Disparities in 1:N Identification.Gabriella Pangelinan, Michael C. King, Kevin W. Bowyer
2025ICCVAre You in or Out (of Gallery)? Wisdom from the Same-Identity Crowd.Aman Bhatta, Maria Dhakal, Michael C. King, Kevin W. Bowyer
2025ICLRVec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors.Haiyu Wu, Jaskirat Singh, Sicong Tian, Liang Zheng, Kevin W. Bowyer
2025WACVLights, Camera, Matching: The Role of Image Illumination in Fair Face Recognition.Gabriella Pangelinan, Grace Bezold, Haiyu Wu, Michael C. King, Kevin W. Bowyer
2025WACVLogicNet: A Logical Consistency Embedded Face Attribute Learning Network.Haiyu Wu, Sicong Tian, Huayu Li, Kevin W. Bowyer
2024CVPROur Deep CNN Face Matchers Have Developed Achromatopsia.Aman Bhatta, Domingo Mery, Haiyu Wu, Joyce Annan, Michael C. King, Kevin W. Bowyer
2024CVPRCan the accuracy bias by facial hairstyle be reduced through balancing the training data?Kagan ztrk, Haiyu Wu, Kevin W. Bowyer
2024WACVImpact of Blur and Resolution on Demographic Disparities in 1-to-Many Facial Identification.Aman Bhatta, Gabriella Pangelinan, Michael C. King, Kevin W. Bowyer
2024WACVFacial Hair Area in Face Recognition Across Demographics: Small Size, Big Effect.Haiyu Wu, Sicong Tian, Aman Bhatta, Kagan ztrk, Karl Ricanek, Kevin W. Bowyer
2023AAAIThe Value of AI Guidance in Human Examination of Synthetically-Generated Faces.Aidan Boyd, Patrick Tinsley, Kevin W. Bowyer, Adam Czajka
2023BMVCTeaching AI to Teach: Leveraging Limited Human Salience Data Into Unlimited Saliency-Based Training.Colton R. Crum, Aidan Boyd, Kevin W. Bowyer, Adam Czajka
2023BMVCWhat Should Be Balanced in a "Balanced" Face Recognition Dataset?Haiyu Wu, Kevin W. Bowyer
2023CVPRFace Recognition Accuracy Across Demographics: Shining a Light Into the Problem.Haiyu Wu, Vtor Albiero, K. S. Krishnapriya, Michael C. King, Kevin W. Bowyer
2023CVPRLogical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning.Haiyu Wu, Grace Bezold, Aman Bhatta, Kevin W. Bowyer
2023CVPRConsistency and Accuracy of CelebA Attribute Values.Haiyu Wu, Grace Bezold, Manuel Gnther, Terrance E. Boult, Michael C. King, Kevin W. Bowyer
2023WACVThe Gender Gap in Face Recognition Accuracy Is a Hairy Problem.Aman Bhatta, Vtor Albiero, Kevin W. Bowyer, Michael C. King
2023WACVHuman Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognition.Aidan Boyd, Daniel Moreira, Andrey Kuehlkamp, Kevin W. Bowyer, Adam Czajka
2023WACVCYBORG: Blending Human Saliency Into the Loss Improves Deep Learning-Based Synthetic Face Detection.Aidan Boyd, Patrick Tinsley, Kevin W. Bowyer, Adam Czajka
2023WACVAnalyzing the Impact of Gender Misclassification on Face Recognition Accuracy.Afi Edem Edi Gbekevi, Paloma Vela Achu, Gabriella Pangelinan, Michael C. King, Kevin W. Bowyer
2023WACVCAST: Conditional Attribute Subsampling Toolkit for Fine-grained Evaluation.Wes Robbins, Steven Zhou, Aman Bhatta, Chad Mello, Vtor Albiero, Kevin W. Bowyer, Terrance E. Boult
2022CVPRRemote Pulse Estimation in the Presence of Face Masks.Jeremy Speth, Nathan Vance, Patrick J. Flynn, Kevin W. Bowyer, Adam Czajka
2022WACVHuman-Aided Saliency Maps Improve Generalization of Deep Learning.Aidan Boyd, Kevin W. Bowyer, Adam Czajka
2022WACVInterpretable Deep Learning-Based Forensic Iris Segmentation and Recognition.Andrey Kuehlkamp, Aidan Boyd, Adam Czajka, Kevin W. Bowyer, Patrick J. Flynn, Dennis Chute, Eric Benjamin
2022WACVDigital and Physical-World Attacks on Remote Pulse Detection.Jeremy Speth, Nathan Vance, Patrick J. Flynn, Kevin W. Bowyer, Adam Czajka
2022WACVAnalysis of Manual and Automated Skin Tone Assignments.Krishnapriya K. S, Gabriella Pangelinan, Michael C. King, Kevin W. Bowyer
2020BMVCIs Face Recognition Sexist? No, Gendered Hairstyles and Biology Are.Vtor Albiero, Kevin W. Bowyer
2020WACVDoes Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No.Vtor Albiero, Kevin W. Bowyer, Kushal Vangara, Michael C. King
2020WACVAnalysis of Gender Inequality In Face Recognition Accuracy.Vtor Albiero, Krishnapriya K. S, Kushal Vangara, Kai Zhang, Michael C. King, Kevin W. Bowyer
2020WACVOn Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs.Sandipan Banerjee, Walter J. Scheirer, Kevin W. Bowyer, Patrick J. Flynn
2019CVPRCharacterizing the Variability in Face Recognition Accuracy Relative to Race.Krishnapriya K. S, Kushal Vangara, Michael C. King, Vitor Albiero, Kevin W. Bowyer
2019WACVFast Face Image Synthesis With Minimal Training.Sandipan Banerjee, Walter J. Scheirer, Kevin W. Bowyer, Patrick J. Flynn
2019WACVIris Recognition: Comparing Visible-Light Lateral and Frontal Illumination to NIR Frontal Illumination.Daniel P. Benalcazar, Claudio A. Perez, Diego Bastias, Kevin W. Bowyer
2019WACVBeyond Pixels: Image Provenance Analysis Leveraging Metadata.Aparna Bharati, Daniel Moreira, Joel Brogan, Patricia Hale, Kevin W. Bowyer, Patrick J. Flynn, Anderson Rocha, Walter J. Scheirer
2019WACVIris Presentation Attack Detection Based on Photometric Stereo Features.Adam Czajka, Zhaoyuan Fang, Kevin W. Bowyer
2019WACVDomain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition.Adam Czajka, Daniel Moreira, Kevin W. Bowyer, Patrick J. Flynn
2019WACVPredicting Gender From Iris Texture May Be Harder Than It Seems.Andrey Kuehlkamp, Kevin W. Bowyer
2019WACVPerformance of Humans in Iris Recognition: The Impact of Iris Condition and Annotation-Driven Verification.Daniel Moreira, Mateusz Trokielewicz, Adam Czajka, Kevin W. Bowyer, Patrick J. Flynn
2017ICIPU-Phylogeny: Undirected provenance graph construction in the wild.Aparna Bharati, Daniel Moreira, Allan da Silva Pinto, Joel Brogan, Kevin W. Bowyer, Patrick J. Flynn, Walter J. Scheirer, Anderson Rocha
2017ICIPSpotting the difference: Context retrieval and analysis for improved forgery detection and localization.Joel Brogan, Paolo Bestagini, Aparna Bharati, Allan da Silva Pinto, Daniel Moreira, Kevin W. Bowyer, Patrick J. Flynn, Anderson Rocha, Walter J. Scheirer
2017ICIPProvenance filtering for multimedia phylogeny.Allan da Silva Pinto, Daniel Moreira, Aparna Bharati, Joel Brogan, Kevin W. Bowyer, Patrick J. Flynn, Walter J. Scheirer, Anderson Rocha
2017SMCSynthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction.Renhao Liu, Lawrence O. Hall, Kevin W. Bowyer, Dmitry B. Goldgof, Robert A. Gatenby, Kaoutar Ben Ahmed
2017WACVGender-from-Iris or Gender-from-Mascara?Andrey Kuehlkamp, Benedict Becker, Kevin W. Bowyer
2016WACVAn analysis of 1-to-first matching in iris recognition.Andrey Kuehlkamp, Kevin W. Bowyer
2015CVPRExploratory analysis of an operational iris recognition dataset from a CBSA border-crossing application.Estefan Ortiz, Kevin W. Bowyer
2015FGTrial Somaliland voting register de-duplication using iris recognition.Kevin W. Bowyer, Estefan Ortiz, Amanda Sgroi
2015FGLocation matters: A study of the effects of environment on facial recognition for biometric security.Amanda Sgroi, Hannah Garvey, Kevin W. Bowyer, Patrick J. Flynn
2014ECCVRecognition of Facial Attributes Using Adaptive Sparse Representations of Random Patches.Domingo Mery, Kevin W. Bowyer
2014ECCVGender Classification from Iris Images Using Fusion of Uniform Local Binary Patterns.Juan E. Tapia, Claudio A. Perez, Kevin W. Bowyer
2014WACVThe effectiveness of face detection algorithms in unconstrained crowd scenes.Jeremiah R. Barr, Kevin W. Bowyer, Patrick J. Flynn
2014WACVActive Clustering with Ensembles for Social structure extraction.Jeremiah R. Barr, Leonardo A. Cament, Kevin W. Bowyer, Patrick J. Flynn
2012CVPRAnalysis of template aging in iris biometrics.Samuel P. Fenker, Kevin W. Bowyer
2012CVPREffects of dominance and laterality on iris recognition.Amanda Sgroi, Kevin W. Bowyer, Patrick J. Flynn
2012IGARSSFast robust perspective transform estimation for automatic image registration in disaster response applications.Jim Thomas, Ahsan Kareem, Kevin W. Bowyer
2012WACVA sparse representation approach to face matching across plastic surgery.Gaurav Aggarwal, Soma Biswas, Patrick J. Flynn, Kevin W. Bowyer
2012WACVPredicting good, bad and ugly match Pairs.Gaurav Aggarwal, Soma Biswas, Patrick J. Flynn, Kevin W. Bowyer
2012WACVColor balancing for change detection in multitemporal images.Jim Thomas, Kevin W. Bowyer, Ahsan Kareem
2011CVPRPredicting performance of face recognition systems: An image characterization approach.Gaurav Aggarwal, Soma Biswas, Patrick J. Flynn, Kevin W. Bowyer
2011CVPRA cross-sensor evaluation of three commercial iris cameras for iris biometrics.Ryan Connaughton, Amanda Sgroi, Kevin W. Bowyer, Patrick J. Flynn
2011WACVDetecting questionable observers using face track clustering.Jeremiah R. Barr, Kevin W. Bowyer, Patrick J. Flynn
2011WACVExperimental evidence of a template aging effect in iris biometrics.Samuel P. Fenker, Kevin W. Bowyer
2010CVPRSimilarity of iris texture between identical twins.Karen Hollingsworth, Kevin W. Bowyer, Patrick J. Flynn
2008ICPRSemi-supervised learning on large complex simulations.John Nicholas Korecki, Robert E. Banfield, Larry O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
2008ICPRDetecting and ordering salient regions for efficient browsing.Larry Shoemaker, Robert E. Banfield, Larry O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
2007AAAIActively Exploring Creation of Face Space(s) for Improved Face Recognition.Nitesh V. Chawla, Kevin W. Bowyer
2007CVPRMulti-Modal Biometrics Involving the Human Ear.Christopher Middendorff, Kevin W. Bowyer, Ping Yan
2006CVPRHuman Face Modeling and Recognition Through Multi-View High Resolution Stereopsis.Xin Chen, Timothy C. Faltemier, Patrick J. Flynn, Kevin W. Bowyer
2006CVPRA Comparison of 3D Biometric Modalities.Damon L. Woodard, Timothy C. Faltemier, Ping Yan, Patrick J. Flynn, Kevin W. Bowyer
2006ICTAILearning to Predict Salient Regions from Disjoint and Skewed Training Sets.Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
2005CVPRAdaptive Rigid Multi-region Selection for Handling Expression Variation in 3D Face Recognition.Kyong I. Chang, Kevin W. Bowyer, Patrick J. Flynn
2005CVPRRandom Subspaces and Subsampling for 2-D Face Recognition.Nitesh V. Chawla, Kevin W. Bowyer
2005CVPRExperimental Evaluation of Iris Recognition.Xiaomei Liu, Kevin W. Bowyer, Patrick J. Flynn
2005CVPROverview of the Face Recognition Grand Challenge.P. Jonathon Phillips, Patrick J. Flynn, W. Todd Scruggs, Kevin W. Bowyer, Jin Chang, Kevin Hoffman, Joe Marques, Jaesik Min, William J. Worek
2005CVPREmpirical Evaluation of Advanced Ear Biometrics.Ping Yan, Kevin W. Bowyer
2005CVPREar Biometrics Using 2D and 3D Images.Ping Yan, Kevin W. Bowyer
2005SMCEnsembles in face recognition: tackling the extremes of high dimensionality, temporality, and variance in data.Nitesh V. Chawla, Kevin W. Bowyer
2004ICPRA Survey Of Approaches To Three-Dimensional Face Recognition.Kevin W. Bowyer, Kyong I. Chang, Patrick J. Flynn
2004SMCLearning a model from spatially disjoint data.Lawrence O. Hall, Divya Bhadoria, Kevin W. Bowyer
2004SMCDecision trees work better than feed-forward back-prop neural nets for a specific class of problems.Xiaomei Liu, Kevin W. Bowyer, Lawrence O. Hall
2003ICDMComparing Pure Parallel Ensemble Creation Techniques Against Bagging.Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich
2003SMCWhy are neural networks sometimes much more accurate than decision trees: an analysis on a bio-informatics problem.Lawrence O. Hall, Xiaomei Liu, Kevin W. Bowyer, Robert E. Banfield
2002ICPRThe Gait Identification Challenge Problem: Data Sets and Baseline Algorithm.P. Jonathon Phillips, Sudeep Sarkar, Isidro Robledo Vega, Patrick Grother, Kevin W. Bowyer
2002ICPRAn Evaluation of Face and Ear Biometrics.Barnabas Victor, Kevin W. Bowyer, Sudeep Sarkar
2002ICTAIError-Based Pruning of Decision Trees Grown on Very Large Data Sets Can Work!Lawrence O. Hall, Richard Collins, Kevin W. Bowyer, Robert E. Banfield
2002SIGCSEOpen source software: intellectual challenges to the status quo.Marty J. Wolf, Kevin W. Bowyer, Donald Gotterbarn, Keith W. Miller
2001CVPRBagging Is a Small-Data-Set Phenomenon.Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer
2001ISTAS"Star Wars" revisited-a continuing case study in ethics and safety-critical software.Kevin W. Bowyer
2001KDDInvestigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction.Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer
2000ICPRSome Further Results of Experimental Comparison of Range Image Segmentation Algorithms.Xiaoyi Jiang, Kevin W. Bowyer, Y. Morioka, Shinsaku Hiura, Kosuke Sato, Seiji Inokuchi, M. Bock, C. Guerra, Robert E. Loke, J. M. Hans du Buf
2000ICPRProgress in Automated Evaluation of Curved Surface Range Image Segmentation.Jaesik Min, Mark W. Powell, Kevin W. Bowyer
2000SMCA parallel decision tree builder for mining very large visualization datasets.Kevin W. Bowyer, Lawrence O. Hall, Thomas Moore, Nitesh V. Chawla, W. Philip Kegelmeyer
2000SIGCSEVideo resources for use in teaching ethics and computing.Kevin W. Bowyer
2000SIGCSEFuture faculty development seminar in ethics, social impact and alternative teaching strategies (seminar session).John A. N. Lee, Kevin W. Bowyer
2000WACVAutomated performance evaluation of range image segmentation.Jaesik Min, Mark W. Powell, Kevin W. Bowyer
1999CVPREdge Detector Evaluation Using Empirical ROC Curves.Kevin W. Bowyer, Christine Kranenburg, Sean Dougherty
1999CVPREvaluation of Texture Segmentation Algorithms.Kyong I. Chang, Kevin W. Bowyer, Munish Sivagurunath
1999CVPRComparison of Edge Detectors Using an Object Recognition Task.Min C. Shin, Dmitry B. Goldgof, Kevin W. Bowyer
1999KDDLearning Rules from Distributed Data.Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer, W. Philip Kegelmeyer
1998CVPRAn Objective Comparison Methodology of Edge Detection Algorithms Using a Structure from Motion Task.Min C. Shin, Dmitry B. Goldgof, Kevin W. Bowyer
1998FlAIRSA Formal Framework for the Objective Evaluation of Edge Detectors.Sean Dougherty, Kevin W. Bowyer
1998ICCVComparing Curved-Surface Range Image Segmenters.Mark W. Powell, Kevin W. Bowyer, Xiaoyi Jiang, Horst Bunke
1998ICIPROC Curve Evaluation of Edge Detector Performance.Sean Dougherty, Kevin W. Bowyer, Christine Kranenburg
1998ICIPThe Effect of Edge Strength on Object Recognition from Edge Images.Jian Wang, Kevin W. Bowyer, Thomas A. Sanocki, Sudeep Sarkar
1998SMCDecision tree learning on very large data sets.Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer
1996CVPRComparison of Edge Detectors: A Methodology and Initial Study.Michael D. Heath, Sudeep Sarkar, Thomas A. Sanocki, Kevin W. Bowyer
1996CVPRCombination of Multiple Classifiers Using Local Accuracy Estimates.Kevin S. Woods, Kevin W. Bowyer, W. Philip Kegelmeyer
1994CBMSThe detection of micro-calcifications in mammographic images using high dimensional features.Jeffrey L. Solka, Wendy L. Poston, Carey E. Priebe, George W. Rogers, Richard A. Lorey, David J. Marchette, Kevin S. Woods, Kevin W. Bowyer
1994CBMSGenerating ROC curves for artificial neural networks.Kevin S. Woods, Kevin W. Bowyer
1994ICPRGeneric recognition of articulated objects by reasoning about functionality.Kevin Green, David W. Eggert, Louise Stark, Kevin W. Bowyer
1994WACVA methodology for evaluating range image segmentation techniques.Adam W. Hoover, Gillian Jean-Baptiste, Dmitry B. Goldgof, Kevin W. Bowyer
1993ICCVUsing hyperquadrics for shape recovery from range data.Song Han, Dmitry B. Goldgof, Kevin W. Bowyer
1993IJCAILearning Fuzzy Membership Functions in a Function-Based Object Recognition System.Kevin S. Woods, Diane J. Cook, Lawrence O. Hall, Louise Stark, Kevin W. Bowyer
1992CVPRThe scale space aspect graph.David W. Eggert, Kevin W. Bowyer, Charles R. Dyer, Henrik I. Christensen, Dmitry B. Goldgof
1992CVPRIndexing function-based categories for generic recognition.Louise Stark, Kevin W. Bowyer
1991CVPRGeneric recognition through qualitative reasoning about 3-D shape and object function.Louise Stark, Kevin W. Bowyer
1990ICCVComputing the visual potential of an articulated assembly of parts.Maha Sallam, John H. Stewman, Kevin W. Bowyer
1988ICCVAspect Graphs And Nonlinear Optimization In 3-D Object Recognition.Louise Stark, David W. Eggert, Kevin W. Bowyer
1988ICCVCreating The Perspective Projection Aspect Graph Of Polyhedral Objects.John H. Stewman, Kevin W. Bowyer
1987WGRestructuring Aspect Graphs into Aspect- and Cell-Equivalence Classes for Use in Computer Vision.John H. Stewman, Louise Stark, Kevin W. Bowyer
1984SIGCSEComputer science learning at pre-college ages.Mark A. Rosso, Kevin W. Bowyer
1983SIGCSEDuke university computer kamp 1982.Kevin W. Bowyer, Mel D. Ray, Cary Laxer