J. Byrne, B Decann and S. Bloom, “Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision Sensors”, British Machine Vision Conference (BMVC), 2020 (oral); [project][paper][talk][award], Best Paper – Runner Up
W. Xie, J. Byrne and A. Zisserman, “Inducing Predictive Uncertainty Estimation for Face Verification”, British Machine Vision Conference (BMVC), 2020 [arXiv:2009.00603]
J. Williford, B. May and J. Byrne, “Explainable Face Recognition”, European Conference on Computer Vision (ECCV), 2020, [arXiv:2008.00916][pdf][supplemental][project]
J. Tan, S. Siddique Khan, V. Boominathan, J. Byrne, R. Baraniuk, K. Mitra and A. Veeraraghavan, CAnOPIC: Pre-Digital Privacy-Enhancing Encodings for Computer Vision, IEEE International Conference on Multimedia and Expo (ICME), 2020 [pdf]
G. Castanon, N. Shnidman, T. Anderson and J. Byrne, Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video, arXiv:1908.10899v2, 2019, [video]
N. Crosswhite, J. Byrne, O. M. Parkhi, C. Stauffer, Q. Cao and A. Zisserman, “Template Adaptation for Face Verification and Identification” Image and Vision Computing, Volume 79, November 2018, Pages 35-48 [pdf] (invited)
G. Castanon and J. Byrne, “Visualizing and Quantifying Discriminative Features for Face Recognition”, International Conference on Automatic Face and Gesture Recognition, 2018 [pdf][supplemental]
N. Crosswhite, J. Byrne, O. M. Parkhi, C. Stauffer, Q. Cao and A. Zisserman, “Template Adaptation for Face Verification and Identification”, IEEE International Conference on Automatic Face and Gesture Recognition, 2017 [arXiv][award] Best Paper – Honorable Mention
D. Crispell, O. Biris, N. Crosswhite, J. Byrne and J. Mundy, Dataset Augmentation for Pose and Lighting Invariant Face Recognition, AIPR’16
N. Crosswhite, J. Byrne, O. M. Parkhi, C. Stauffer, Q. Cao and A. Zisserman, “Template Adaptation for Face Verification and Identification”, arXiv:1603.03958, 2016
J. Byrne, “Unconstrained Face Recognition in the Wild”, Boston Imaging and Vision seminar, 2016 [pptx]
J. Byrne, “Nested Motion Descriptors”, Computer Vision and Pattern Recognition (CVPR), Boston MA, 2015, [video][pdf]
J. Byrne, “Shape Representations using Nested Descriptors”, PhD Thesis, University of Pennsylvania, 2014
J. Byrne and J. Shi, “Nested Shape Descriptors”, International Conference on Computer Vision (ICCV’13), Sydney Australia, 2013 [pdf]
J. Byrne, “Graph Based Shape Representations for Object Detection”, University of Pennsylvania Technical Report, 2012; [pdf][ppt]
J. Byrne and C.J. Taylor, “Expansion Segmentation for Visual Collision Detection and Estimation”, Proceedings of the 2009 IEEE International Conference on Robotics and Automation (ICRA’09), pp. 1938-1945, May 12-17, 2009; [pdf][video]
B. Cohen and J. Byrne, “Inertial Aided SIFT for Visual Collision Estimation”, Video proceedings of the 2009 IEEE International Conference on Robotics and Automation (ICRA’09), May 12-17, 2009; [video]
J. Saunders, R. Beard and J. Byrne, “Vision-Based Reactive Multiple Obstacle Avoidance for Micro Air Vehicles”, Proceedings of the American Control Conference (ACC’09), June 10-12, 2009
H. Yu, R. Beard, J. Byrne, Vision-based navigation frame mapping and planning for collision avoidance for miniature air vehicles, Control Engineering Practice, volume 18, issue 7, year 2010, pp. 824 – 836
H. Yu, R. Beard and J. Byrne, “Vision-based local multi-resolution mapping and path planning for Miniature Air Vehicles”, Proceedings of the American Control Conference (ACC’09), June 10-12, 2009
H. Yu, R. Beard and J. Byrne, “Vision-Based Local Multi-resolution Path Planning and Obstacle Avoidance for Micro Air Vehicles”, Proceedings of the AIAA Guidance, Navigation, and Control Conference (GNC’09), August 10, 2009, [simulated video]
J. Byrne and R. Mehra, “Wireless Video Noise Classification for Micro Air Vehicles”, Proceedings of the 2008 Association for Unmanned Vehicle Systems International (AUVSI) Conference, North America 2008, June 10-12, 2008; [pdf][poster]
J. Byrne, M. Cosgrove, and R. Mehra, “Stereo Based Obstacle Detection for an Unmanned Air Vehicle”, Proceedings of the 2006 IEEE International Conference on Robotics and Automation (ICRA), May 15-19, 2006, pp. 2830 – 2835; [flight video][sensor video][pdf]
J. Kelsey, J. Byrne, M. Cosgrove, S. Seereeram, and R. Mehra, “Vision-Based Relative Pose Estimation for Autonomous Rendezvous And Docking”, Proceedings of the 2006 IEEE Aerospace Conference, March 04-11 2006, pp. 1 – 20; [pdf]
R. Mehra, J. Byrne, J. Boskovic, “Flight Testing of a Fault-Tolerant Control and Vision Based Obstacle Avoidance System for UAVs”, Proceedings of the 2005 Association for Unmanned Vehicle Systems International (AUVSI) Conference, North America, 2005; [pdf][poster]
R. Mehra, J. Byrne, J. Boskovic, “Intelligent Autonomy and Vision Based Obstacle Avoidance for UAVs”, Proceedings of the Thirteenth Yale Workshop On Adaptive and Learning Systems, New Haven, CT, June 2005, pp 59-66; [pdf]
J. Byrne, M. Cosgrove, and R. Mehra, “Real Time Stereo Based Obstacle Detection for UAV Threat Avoidance: Initial Flight Experiment Results”, Proceedings of the 2005 Government Microcircuit Applications and Critical Technology (GOMACTech), April 4-7, 2005, Las Vegas, NV, Session 2.5 (invited paper); [pdf]
J. Byrne, A. Gandhe, R. Prasanth, B. Ravichandran, M. Huff, R. Mehra, “A k-partition, Graph Theoretic Approach to Perceptual Organization”, Proceedings of the 2003 IEEE conference on integration of knowledge intensive multi agent systems (KIMAS), Cambridge MA, September 30 – October 4 2003, pp. 336-342; [pdf]
J. Byrne, S. Singh, “Precise Image Segmentation for Forest Survey”, Carnegie Mellon University Technical Report, CMU-RI-TR-98-14
Patents
J. Byrne, B. Decann and S. Bloom, “A System and Method for Privacy Preserving Vision Sensors”, 2019
J. Byrne and R. Mehra, “Method and System For Visual Collision Detection and Estimation”, United States Patent and Trademark Office Publication number US-20100305857-A1, 2010;
J. Byrne and R. Mehra, “A System and Method for Obstacle Detection using Binocular Stereo”, United States Patent and Trademark Office Provisional Patent Application EV 713248736 US, April 2006
