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cs.CV2019
Improving Visual Recognition using Ambient Sound for Supervision
Rohan Mahadev, Hongyu Lu
Our brains combine vision and hearing to create a more elaborate interpretation of the world. When the visual input is insufficient, a rich panoply of sounds can be used to describ…
cs.CV2019
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity,Representation, Coverage and Importance
Vishal Kaushal, Rishabh Iyer, Khoshrav Doctor +6
This paper addresses automatic summarization of videos in a unified manner. In particular, we propose a framework for multi-faceted summarization for extractive, query base and ent…
cs.CV2019
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision
Vishal Kaushal, Rishabh Iyer, Suraj Kothawade +3
Supervised machine learning based state-of-the-art computer vision techniques are in general data hungry. Their data curation poses the challenges of expensive human labeling, inad…