April 2, 2014 / Last updated : February 22, 2021 irfan News

Computational Journalist Nick Diakopoulos Appointed Assistant Professor at Philip Merrill College of Journalism, U of Maryland

Congratulations to my Ph. D. Student Nicholas Diakopoulos and best wishes on his new position. COLLEGE PARK, Md. – Computational journalist Nicholas A. Diakopoulos will be the newest assistant professor at the Philip Merrill College of Journalism. Dean Lucy Dalglish announced the appointment today. …. With a background in computer science and human-computer interaction, Diakopoulos […]
January 6, 2014 / Last updated : February 22, 2021 irfan Teaching

Spring 2014 term begins; teaching CS 4464/6465 (Computational Journalism) and CS 4001 (Computerization and Society)

Welcome to Spring 2014 term.  Happy 2014 to all.  This term I am teaching CS 4464/6465 (Computational Journalism) and CS 4001 (Computerization and Society) at Georgia Tech.  Following links provide more information on both these classes. CS 4464 / CS 6465 Computational Journalism: This class is aimed at understanding the computational and technological advancements in the […]
October 3, 2013 / Last updated : February 22, 2021 irfan CVIU

Paper in CVIU 2013 “A Visualization Framework for Team Sports Captured using Multiple Static Cameras”

Abstract We present a novel approach for robust localization of multiple people observed using a set of static cameras. We use this location information to generate a visualization of the virtual offside line in soccer games. To compute the position of the offside line, we need to localize players′ positions and identify their team roles. […]
September 14, 2013 / Last updated : February 21, 2021 irfan Ubicomp

Paper in ACM Ubicomp 2013 "Technological approaches for addressing privacy concerns when recognizing eating behaviors with wearable cameras"

[bibtex file=IrfanEssaWS.bib key=2013-Thomaz-TAAPCWREBWWC]  Abstract First-person point-of-view (FPPOV) images taken by wearable cameras can be used to better understand people’s eating habits. Human computation is a way to provide effective analysis of FPPOV images in cases where algorithmic approaches currently fail. However, privacy is a serious concern. We provide a framework, the privacy-saliency matrix, for understanding […]
August 11, 2013 / Last updated : February 22, 2021 irfan KDD

Paper in ACM KDD 2013 “Detecting insider threats in a real corporate database of computer usage activity”

Abstract This paper reports on methods and results of an applied research project by a team consisting of SAIC and four universities to develop, integrate, and evaluate new approaches to detect the weak signals characteristic of insider threats on organizations’ information systems. Our system combines structural and semantic information from a real corporate database of […]
July 11, 2013 / Last updated : September 2, 2020 irfan Presentations

At ICVSS (International Computer Vision Summer School) 2013, in Calabria, ITALY (July 2013)

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 […]
June 27, 2013 / Last updated : February 22, 2021 irfan CVPR

Paper in IEEE CVPR 2013: “Geometric Context from Videos”

Citation Abstract We present a novel algorithm for estimating the broad 3D geometric structure of outdoor video scenes. Leveraging spatio-temporal video segmentation, we decompose a dynamic scene captured by a video into geometric classes, based on predictions made by region-classifiers that are trained on appearance and motion features. By examining the homogeneity of the prediction, […]
June 27, 2013 / Last updated : February 22, 2021 irfan CVPR

Paper in IEEE CVPR 2013 "Decoding Children's Social Behavior"

Abstract We introduce a new problem domain for activity recognition: the analysis of children’s social and communicative behaviors based on video and audio data. We specifically target interactions between children aged 1-2 years and an adult. Such interactions arise naturally in the diagnosis and treatment of developmental disorders such as autism. We introduce a new […]