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

Tuesday, February 20th, 2018 Posted in Computer Vision, In The News, Machine Learning | No Comments »

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. ... Read more..

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

Thursday, May 18th, 2017 Posted in Computational Journalism, Computational Photography and Video, Computer Vision, Face and Gesture, Julia Deeb-Swihart, Papers, Social Computing | No Comments »

Paper [bibtex file=IrfanEssaWS.bib key=2017-Deeb-Swihart-SELLCSCI] 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 ... Read more..

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

Thursday, May 18th, 2017 Posted in Computational Journalism, Computational Photography and Video, Computer Vision, Machine Learning, Papers, Unaiza Ahsan | No Comments »

Paper [bibtex file=IrfanEssaWS.bib key=2017-Ahsan-TUVAIISSE] Abstract Widespread and pervasive adoption of smartphones has led to instant sharing of photographs that capture events ranging from mundane to life-altering happenings. We propose to capture sentiment information ... Read more..

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

Monday, March 27th, 2017 Posted in Computational Journalism, Computational Photography and Video, Computer Vision, PAMI/ICCV/CVPR/ECCV, Papers, Unaiza Ahsan | No Comments »

Paper [bibtex file=IrfanEssaWS.bib key=2017-Ahsan-CERFIWTE] 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 ... Read more..

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

Friday, October 21st, 2016 Posted in Aneeq Zia, Awards, Computer Vision, Daniel Castro, Medical, MICCAI | No Comments »

Paper [bibtex file=IrfanEssaWS.bib key=2016-Zia-FDASTD] Abstract [caption id="attachment_1904" align="alignright" width="300"] Visualization of some of the training videos.[/caption] Understanding surgical workflow has been a key concern of the medical research community. One of the main advantages ... Read more..