Awards

October 21, 2016 / Last updated : February 21, 2021 irfan MICCAI

Paper in M2CAI 2016 (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, […]
April 1, 2015 / Last updated : February 22, 2021 irfan IUI

Paper in ACM IUI15: “Inferring Meal Eating Activities in Real-World Settings from Ambient Sounds: A Feasibility Study”

Citation Abstract Dietary self-monitoring has been shown to be an effective method for weight-loss, but it remains an onerous task despite recent advances in food journaling systems. Semi-automated food journaling can reduce the effort of logging, but often requires that eating activities be detected automatically. In this work we describe results from a feasibility study […]
January 6, 2015 / Last updated : February 22, 2021 irfan WACV

Paper in WACV (2015): “Egocentric Field-of-View Localization Using First-Person Point-of-View Devices”

Paper Abstract We present a technique that uses images, videos and sensor data taken from first-person point-of-view devices to perform egocentric field-of-view (FOV) localization. We define egocentric FOV localization as capturing the visual information from a person’s field-of-view in a given environment and transferring this information onto a reference corpus of images and videos of […]
September 14, 2014 / Last updated : February 22, 2021 irfan MICCAI

Paper in M2CAI 2014: “Video Based Assessment of OSATS Using Sequential Motion Textures”

Paper Abstract A fully automated framework for video-based surgical skill assessment is presented that incorporates the sequential and qualitative aspects of surgical motion in a data-driven manner. The Objective Structured Assessment of Technical Skills (OSATS) assessments is replicated, which provides both an overall and in-detail evaluation of basic suturing skills required for surgeons. Video analysis […]
June 13, 2013 / Last updated : February 22, 2021 irfan News

Excellent Computer Vision Paper Award by Google Research for 2012

Our paper M. Grundmann, V. Kwatra, Daniel Castro, and I. Essa (2012), “Calibration-Free Rolling Shutter Removal,” in IEEE Conference on Computational Photography (ICCP), 2012. (Best Paper Award) [PDF] [WEBSITE] [VIDEO] [DOI] [BIBTEX] @InProceedings{ 2012-Grundmann-CRSR, author = {Matthias Grundmann and Vivek Kwatra and Daniel Castro and Irfan Essa}, awards = {(Best Paper Award)}, booktitle = {{IEEE […]
October 7, 2012 / Last updated : February 21, 2021 irfan ECCV

Paper in ECCV Workshop 2012: “Weakly Supervised Learning of Object Segmentations from Web-Scale Videos”

Citation Abstract We propose to learn pixel-level segmentations of objects from weakly labeled (tagged) internet videos. Espe cially, given a large collection of raw YouTube content, along with potentially noisy tags, our goal is to automatically generate spatiotemporal masks for each object, such as dog”, without employing any pre-trained object detectors. We formulate this problem as […]
April 28, 2012 / Last updated : February 22, 2021 irfan ICCP

Paper in IEEE ICCP 2012: “Calibration-Free Rolling Shutter Removal”

Abstract We present a novel algorithm for the efficient removal of rolling shutter distortions in uncalibrated streaming videos. Our proposed method is calibration-free as it does not need any knowledge of the camera used, nor does it require calibration using specially recorded calibration sequences. Our algorithm can perform rolling shutter removal under varying focal lengths, […]
March 22, 2012 / Last updated : February 22, 2021 irfan News

Best Computer Vision Paper Award by Google Research for 2011

Our following paper was just awarded the Excellent Paper for 2011 in Computer Vision by Google Research. M. Grundmann, V. Kwatra, and I. Essa (2011), “Auto-Directed Video Stabilization with Robust L1 Optimal Camera Paths,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. [PDF] [WEBSITE] [VIDEO] [DEMO] [DOI] [BIBTEX] @InProceedings{ 2011-Grundmann-AVSWROCP, author = […]
November 21, 2011 / Last updated : February 22, 2021 irfan News

Essa, Egerstedt Named IEEE Fellows | School of Interactive Computing

Via Georgia Tech School of Interactive Computing‘s Website > Essa, Egerstedt Named IEEE Fellows. The IEEE Board of Directors has elected professors Irfan Essa and Magnus Egerstedt (both Interactive Computing) as Fellows in its Class of 2012. Essa is a professor whose research focus is in computer vision, computer graphics, computational perception, robotics and computer animation. In his […]
May 16, 2011 / Last updated : January 6, 2020 irfan News

PhD Fellowships from Google Research for Matthias Grundmann

Congratulations to Matthias Grundmann, winner of the Google PhD Fellowship in Computer Vision for 2012. via PhD Fellowships – Google Research. Google PhD Fellowship Program Overview Nurturing and maintaining strong relations with the academic community is a top priority at Google. The Google U.S./Canada PhD Student Fellowship Program was created to recognize outstanding graduate students […]