Activity Recognition

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

Paper in IEEE CVPR 2013 “Augmenting Bag-of-Words: Data-Driven Discovery of Temporal and Structural Information for Activity Recognition”;

Abstract We present data-driven techniques to augment Bag of Words (BoW) models, which allow for more robust modeling and recognition of complex long-term activities, especially when the structure and topology of the activities are not known a priori. Our approach specifically addresses the limitations of standard BoW approaches, which fail to represent the underlying temporal […]
October 7, 2012 / Last updated : July 24, 2024 irfan ECCV

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

Paper / 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 a “dog”, without employing any pre-trained object detectors. We formulate […]
October 7, 2012 / Last updated : February 22, 2021 irfan Publications

Paper in IROS 2012: "Linguistic Transfer of Human Assembly Tasks to Robots"

Citation Abstract We demonstrate the automatic transfer of an assembly task from human to robot. This work extends efforts showing the utility of linguistic models in verifiable robot control policies by now performing real visual analysis of human demonstrations to automatically extract a policy for the task. This method tokenizes each human demonstration into a […]
June 5, 2012 / Last updated : February 22, 2021 irfan CVPR

Presentation at CVPR 2012 workshop on Large Scale Video Search and Mining "Extracting Content and Context from Video."

Extracting Content and Context from Video. (Presentation at CVPR 2012 workshop on Large Scale Video Search and Mining 2012, June 21, 2012)Irfan EssaGEORGIA Tech Abstract In this talk, I will describe various efforts aimed at extracting context and content from video. I will highlight some of our recent work in extracting spatio-temporal features and the […]
May 24, 2012 / Last updated : September 2, 2020 irfan Presentations

AT IWCV 2012: "Videos Understanding: Extracting Content and Context from Video."

Videos Understanding: Extracting Content and Context from Video. (Presentation at the International Workshop on Computer Vision 2012, Ortigia, Siracusa, Sicily, May 22-24, 2012.) Irfan Essa GEORGIA Tech Abstract In this talk, I will describe various efforts aimed at extracting context and content from video. I will highlight some of our recent work in extracting spatio-temporal features […]
October 28, 2011 / Last updated : February 22, 2021 irfan ICCV

Paper in ICCV 2011: "Gaussian Process Regression Flow for Analysis of Motion Trajectories"

Paper/Citation Abstract Analysis and Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new representation specifically aimed at matching motion trajectories. We model a trajectory as a continuous dense flow field from a sparse set of vector sequences using […]
September 1, 2011 / Last updated : February 22, 2021 irfan Funding

Funding (2011) NSF (1146352) "EAGER: Linguistic Task Transfer for Humans and Cyber Systems"

EAGER: Linguistic Task Transfer for Humans and Cyber Systems (Mike Stillman, Irfan Essa) NSF/RI This project, investigating formal languages as a general methodology for task transfer between distinct cyber-physical systems such as humans and robots, aims to expand the science of cyber physical systems by developing Motion Grammars that will enable task transfer between distinct […]