A TEDx talk that I recently did. In this talk, the speaker takes you on a journey of how AI systems have evolved over time. DIRECTOR OF MACHINE LEARNING AT GEORGIA INSTITUTE OF TECHNOLOGY Dr. Irfan Essa is a professor in the school of Interactive Computing and the inaugural Director of Machine Learning at Georgia […]
Paper U. Ahsan, M. D. Choudhury, and Irfan Essa (2017), “Towards Using Visual Attributes to Infer Image Sentiment Of Social Events,” in Proceedings of The International Joint Conference on Neural Networks, Anchorage, Alaska, US, 2017. [PDF] [BIBTEX] @InProceedings{ 2017-Ahsan-TUVAIISSE, address = {Anchorage, Alaska, US}, author = {Unaiza Ahsan and Munmun De Choudhury and Irfan Essa}, […]
Paper Abstract The massive growth of sports videos has resulted in a need for automatic generation of sports highlights that are comparable in quality to the hand-edited highlights produced by broadcasters such as ESPN. Unlike previous works that mostly use audio-visual cues derived from the video, we propose an approach that additionally leverages contextual cues […]
Kudos to the team from Machine Perception at Google Research that just launched the Motion Still App to generate novel photos on an iOS device. This work is in part aimed at combining efforts like Video Textures and Video Stabilization and a lot more. Today we are releasing Motion Stills, an iOS app from Google […]
Paper D. Castro, V. Bettadapura, and Irfan Essa (2016), “Discovering Picturesque Highlights from Egocentric Vacation Video,” in IEEE Winter Conference on Applications of Computer Vision (WACV), 2016. [PDF] [WEBSITE] [arXiv] [BIBTEX] @InProceedings{ 2016-Castro-DPHFEVV, arxiv = {http://arxiv.org/abs/1601.04406}, author = {Daniel Castro and Vinay Bettadapura and Irfan Essa}, booktitle = {{IEEE Winter Conference on Applications of Computer […]
Video Analysis and Enhancement: Spatio-Temporal Methods for Extracting Content from Videos and Enhancing Video Output Irfan Essa (prof.irfanessa.com) Georgia Institute of Technology School of Interactive Computing Hosted by Max-Planck-Institut für Informatik in Saarbrucken (Bernt Schiele, Director of Computer Vision and Multimodal Computing) Abstract In this talk, I will start with describing the pervasiveness of image and video content, […]
Participated in the Dagstuhl Workshop on “Modeling and Simulation of Sport Games, Sport Movements, and Adaptations to Training” at the Dagstuhl Castle, September 13 – 16, 2015. Motivation Computational modeling and simulation are essential to analyze human motion and interaction in sports science. Applications range from game analysis, issues in training science like training load-adaptation […]
Data-Driven Methods for Video Analysis and Enhancement Irfan Essa (prof.irfanessa.com) Georgia Institute of Technology Thursday, September 10, 2 pm, Max Planck House Lecture Hall (Spemannstr. 36) Hosted by Max-Planck-Institute for Intelligent Systems (Michael Black, Director of Percieving Systems) Abstract In this talk, I will start with describing the pervasiveness of image and video content, and how such […]
I was invited to participate and present at the King Abdullah University of Science & Technology Conference on Computational Imaging and Vision (CIV) March 1-4, 2015 Building 19 Level 3, Lecture Halls Visual Computing Center (VCC) Invited Speakers included Shree Nayar – Columbia University Daniel Cremers – Technical University of Munich Rene Vidal –The Johns […]
Citation Abstract We present an algorithm for finding temporally consistent occlusion boundaries in videos to support segmentation of dynamic scenes. We learn occlusion boundaries in a pairwise Markov random field (MRF) framework. We first estimate the probability of a spatiotemporal edge being an occlusion boundary by using appearance, flow, and geometric features. Next, we enforce […]