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Arulkumar Subramaniam

2 accepted papers

2019

Co-Segmentation Inspired Attention Networks for Video-Based Person Re-Identification

ICCV 2019poster

Person re-identification (Re-ID) is an important real-world surveillance problem that entails associating a person's identity over a network of cameras. Video-based Re-ID approaches have gained significant attention recently since a video, and not just an image, is often available. In this work, we…

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2016

Deep Neural Networks with Inexact Matching for Person Re-Identification

NeurIPS 2016poster

Person Re-Identification is the task of matching images of a person across multiple camera views. Almost all prior approaches address this challenge by attempting to learn the possible transformations that relate the different views of a person from a training corpora. Then, they utilize these trans…