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 A. Zia, D. Castro, and I. Essa (2016), “Fine-tuning Deep Architectures for Surgical Tool Detection,” in Workshop and Challenges on Modeling and Monitoring of Computer Assisted Interventions (M2CAI), Held in Conjunction with International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, 2016. [PDF] [WEBSITE] [BIBTEX] @InProceedings{ 2016-Zia-FDASTD, address = {Athens, […]
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 […]
Routine evaluation of basic surgical skills in medical schools requires considerable time and effort from supervising faculty. For each surgical trainee, a supervisor has to observe the trainees in-person. Alternatively, supervisors may use training videos, which reduces some of the logistical overhead. All these approaches, however, are still incredibly time-consuming and involve human bias. In this paper, we present an automated system for surgical skills assessment by analyzing video data of surgical activities.
My teaching activities for Fall 2016 are CS 6475 Computational Photography (Part of the Online MS CS Program), supported by TAs, Kim Sirichoke, Chris Gearhart, Vickie Backman, Daniel Castro, and Phuc-Hai Huynh CS 6476 Computer Vision (Part of the Online MS CS Program) supported by Sarah Moore, Carleton Ericson, Prabhudev Prakash & Pedro Velez.
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 Abstract We present an approach for identifying picturesque highlights from large amounts of egocentric video data. Given a set of egocentric videos captured over the course of a vacation, our method analyzes the videos and looks for images that have good picturesque and artistic properties. We introduce novel techniques to automatically determine aesthetic features […]
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 […]
Paper Abstract We present an automated framework for a visual assessment of the expertise level of surgeons using the OSATS (Objective Structured Assessment of Technical Skills) criteria. Video analysis technique for extracting motion quality via frequency coefficients is introduced. The framework is tested in a case study that involved analysis of videos of medical students with different expertise levels performing basic […]