- 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] Best Paper – Runner Up
- W. Xie, J. Byrne and A. Zisserman, “Inducing Predictive Uncertainty Estimation for Face Verification”, British Machine Vision Conference (BMVC), 2020
- J. Williford, B. May and J. Byrne, “Explainable Face Recognition”, European Conference on Computer Vision (ECCV), 2020; [project] arXiv:2008.00916
- 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
- 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
- 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 [IVC] (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] 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 [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, “Topology Preserving Graph Matching’, UPenn technical report, 2011 [pdf]
- 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
- 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; [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