no code implementations • 13 Jun 2022 • Additya Popli, Vijay Kumar, Sujit Jos, Saraansh Tandon
In this work, we propose to learn representations for compatibility prediction from in-the-wild street fashion images through self-supervised learning by leveraging the fact that people often wear compatible outfits.
no code implementations • 7 Apr 2021 • Additya Popli, Saraansh Tandon, Joshua J. Engelsma, Naoyuki Onoe, Atsushi Okubo, Anoop Namboodiri
Therefore, rather than performing the two tasks separately, we propose a joint model for spoof detection and matching to simultaneously perform both tasks without compromising the accuracy of either task.
no code implementations • 8 Dec 2019 • Rohit Gajawada, Additya Popli, Tarang Chugh, Anoop Namboodiri, Anil K. Jain
Spoof detectors are classifiers that are trained to distinguish spoof fingerprints from bonafide ones.