Paper Abstract Carefully managing the presentation of self via technology is a core practice on all modern social media platforms. Recently, selfies have emerged as a new, pervasive genre of identity performance. In many ways unique, selfies bring us full circle to Goffman—blending the online and offline selves together. In this paper, we take an […]
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 We propose to leverage concept-level representations for complex event recognition in photographs given limited training examples. We introduce a novel framework to discover event concept attributes from the web and use that to extract semantic features from images and classify them into social event categories with few training examples. Discovered concepts include a variety of objects, scenes, […]
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 […]
My teaching activities for Spring 2016 are CS 4475 / 6475 Computational Photography (On-Campus, in Atlanta), Tue-Thu 1:35 pm-2:55 pm, KACB 2443, supported by TAs, Unaiza Ahsan, Huda Alamri, Amit Agarwal, and Palal Shastri. CS 6475 Computational Photography (Part of the Online MS CS Program), supported by TAs, Daniel Castro, Kim Sirichoke, Vickie Backman, Brandon Guttersohn, Isabel Lupiani […]
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, […]
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 […]