Honored to have been invited to speak at the inaugural workshop at CVPR 2020 on “AI for Content Creation.” As CVPR 2020 went online, so did this workshop. I gave a talk on “AI (CV/ML) for Content Creation”. More information on the workshop is The AI for Content Creation workshop (AICCW) at CVPR 2020 brings […]
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 […]
Presentation at the Machine Learning Center at GA Tech on "The New Machine Learning Center at GA Tech: Plans and Aspirations"
Machine Learning at Georgia Tech Seminar Series Speaker: Irfan Essa Date/Time: March 1, 2017, 12n Abstract The Interdisciplinary Research Center (IRC) for Machine Learning at Georgia Tech (ML@GT) was established in Summer 2016 to foster research and academic activities in and around the discipline of Machine Learning. This center aims to create a community that […]
Data and computation drive our world, often without sufficient critical assessment or accountability. Journalism is adapting responsibly—finding and creating new kinds of stories that respond directly to our new societal condition. Join us for a two-day conference exploring the interface between journalism and computing.October 2-3, New York, NY#CJ2015 Source: 2015 C+J Symposium Participated the 4th […]
Presentation at Max-Planck-Institut für Informatik in Saarbrücken (2015): "Video Analysis and Enhancement"
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, […]
Dagstuhl Workshop 2015: "Modeling and Simulation of Sport Games, Sport Movements, and Adaptations to Training"
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 […]
Presentation at Max-Planck-Institute for Intelligent Systems in Tübingen (2015): "Data-Driven Methods for Video Analysis and Enhancement"
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 […]
William Mong Distinguished Lecture at the University of Hong Kong on "Video Cameras are Everywhere: Data-Driven Methods for Video Analysis and Enhancement"
Video Cameras are Everywhere: Data-Driven Methods for Video Analysis and Enhancement Irfan Essa (prof.irfanessa.com) Georgia Institute of Technology School of Interactive Computing GVU and RIM @ GT Centers Abstract In this talk, I will start with describing the pervasiveness of image and video content, and how such content is growing with the ubiquity of cameras. […]
Teaching at the ICVSS 2013, in Calabria, Italy, July 2013 (Programme) Computational Video: Post-processing Methods for Stabilization, Retargeting and Segmentation Irfan Essa (This work in collaboration with Matthias Grundmann, Daniel Castro, Vivek Kwatra, Mei Han, S. Hussian Raza). Abstract We address a variety of challenges for analysis and enhancement of Computational Video. We present novel […]