Computer Vision

November 2, 2019 / Last updated : January 3, 2020 irfan Computer Vision

Paper in ICCV Workshop on Geometry Meets Deep Learning Workshop on "Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction"

Citation S. Hickson, K. Raveendran, Alireza Fathi, K. Murphy, and I. Essa (2019), “Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction,” in IEEE International Conference on Computer Vision (ICCV) Workshop on Geometry Meets Deep Learning, 2019. [PDF] [VIDEO] [arXiv] [BIBTEX] @InProceedings{ 2019-Hickson-FFLSRSNP, arxiv = {https://arxiv.org/abs/1906.06792}, author = {Steven Hickson and Karthik Raveendran and […]
February 20, 2018 / Last updated : February 20, 2018 irfan Computer Vision

Real-Time Captcha Technique Improves Biometric Authentication | College of Computing

A short write-up on one of my recent publications. A new login authentication approach could improve the security of current biometric techniques that rely on video or images of users’ faces. Known as Real-Time Captcha, the technique uses a unique challenge that’s easy for humans — but difficult for attackers who may be using machine learning […]
June 21, 2017 / Last updated : January 5, 2020 irfan Activity Recognition

Paper in IPCAI 2017 on "Video and Accelerometer-Based Motion Analysis for Automated Surgical Skills Assessment"

Paper Abstract Purpose: Basic surgical skills of suturing and knot tying are an essential part of medical training. Having an automated system for surgical skills assessment could help save experts time and improve training efficiency. There have been some recent attempts at automated surgical skills assessment using either video analysis or acceleration data. In this […]
May 18, 2017 / Last updated : May 18, 2017 irfan Computational Journalism

Paper in AAAI's ICWSM (2017) "Selfie-Presentation in Everyday Life: A Large-Scale Characterization of Selfie Contexts on Instagram"

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 […]
May 18, 2017 / Last updated : May 18, 2017 irfan Computational Journalism

Paper in IJCNN (2017) "Towards Using Visual Attributes to Infer Image Sentiment Of Social Events"

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}, […]
March 27, 2017 / Last updated : January 5, 2020 irfan Computational Journalism

Paper in IEEE WACV (2017): "Complex Event Recognition from Images with Few Training Examples"

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, […]
October 21, 2016 / Last updated : January 6, 2020 irfan Awards

Paper in M2CAI (MICCAI workshop) on “Fine-tuning Deep Architectures for Surgical Tool Detection and results of Tool Detection Challange”

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, […]
October 18, 2016 / Last updated : January 5, 2020 irfan Computational Photography and Video

Paper (ACM MM 2016) “Leveraging Contextual Cues for Generating Basketball Highlights”

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 […]
September 2, 2016 / Last updated : January 5, 2020 irfan Activity Recognition

Paper in IJCARS (2016) on “Automated video-based assessment of surgical skills for training and evaluation in medical schools”

Paper Abstract Purpose: 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 […]