WACV

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, […]
March 7, 2016 / Last updated : January 6, 2020 irfan Computational Photography and Video

Paper in WACV 2016: “Discovering Picturesque Highlights from Egocentric Vacation Videos”

Paper D. Castro, V. Bettadapura, and Irfan Essa (2016), “Discovering Picturesque Highlights from Egocentric Vacation Video,” in IEEE Winter Conference on Applications of Computer Vision (WACV), 2016. [PDF] [WEBSITE] [arXiv] [BIBTEX] @InProceedings{ 2016-Castro-DPHFEVV, arxiv = {http://arxiv.org/abs/1601.04406}, author = {Daniel Castro and Vinay Bettadapura and Irfan Essa}, booktitle = {{IEEE Winter Conference on Applications of Computer […]
January 6, 2015 / Last updated : January 5, 2020 irfan Computer Vision

Paper in WACV (2015): “Semantic Instance Labeling Leveraging Hierarchical Segmentation"

Paper Abstract Most of the approaches for indoor RGBD semantic labeling focus on using pixels or superpixels to train a classifier. In this paper, we implement a higher level segmentation using a hierarchy of superpixels to obtain a better segmentation for training our classifier. By focusing on meaningful segments that conform more directly to objects, […]
January 6, 2015 / Last updated : January 5, 2020 irfan Computer Vision

Paper in IEEE WACV (2015): “Finding Temporally Consistent Occlusion Boundaries using Scene Layout”

Citation Abstract We present an algorithm for finding temporally consistent occlusion boundaries in videos to support segmentation of dynamic scenes. We learn occlusion boundaries in a pairwise Markov random field (MRF) framework. We first estimate the probability of a spatiotemporal edge being an occlusion boundary by using appearance, flow, and geometric features. Next, we enforce […]
January 6, 2015 / Last updated : January 5, 2020 irfan Activity Recognition

Paper in IEEE WACV (2015): "Leveraging Context to Support Automated Food Recognition in Restaurants"

Paper Abstract The pervasiveness of mobile cameras has resulted in a dramatic increase in food photos, which are pictures reflecting what people eat. In this paper, we study how taking pictures of what we eat in restaurants can be used for the purpose of automating food journaling. We propose to leverage the context of where […]
January 6, 2015 / Last updated : January 6, 2020 irfan Activity Recognition

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

Paper V. Bettadapura, I. Essa, and Caroline Pantofaru (2015), “Egocentric Field-of-View Localization Using First-Person Point-of-View Devices,” in IEEE Winter Conference on Applications of Computer Vision (WACV), 2015. (Best Paper Award) [PDF] [WEBSITE] [DOI] [arXiv] [BIBTEX] @InProceedings{ 2015-Bettadapura-EFLUFPD, arxiv = {http://arxiv.org/abs/1510.02073}, author = {Vinay Bettadapura and Irfan Essa and Caroline Pantofaru}, awards = {(Best Paper Award)}, […]