no code implementations • 1 Dec 2023 • Deen Dayal Mohan, Bhavin Jawade, Srirangaraj Setlur, Venu Govindaraj
Objective functions that optimize deep neural networks play a vital role in creating an enhanced feature representation of the input data.
no code implementations • 16 Jul 2023 • Bhavin Jawade, Deen Dayal Mohan, Dennis Fedorishin, Srirangaraj Setlur, Venu Govindaraju
Face feature aggregation, which involves aggregating a set of N feature representations present in a template into a single global representation, plays a pivotal role in such recognition systems.
Ranked #1 on Face Identification on DroneSURF
1 code implementation • 9 Jul 2023 • Bhavin Jawade, Deen Dayal Mohan, Srirangaraj Setlur, Nalini Ratha, Venu Govindaraju
Contactless fingerprint matching using smartphone cameras can alleviate major challenges of traditional fingerprint systems including hygienic acquisition, portability and presentation attacks.
1 code implementation • IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023 • Bhavin Jawade, Deen Dayal Mohan, Naji Mohamed Ali, Srirangaraj Setlur, Venu Govindaraju
Cross-modal retrieval is a fundamental vision-language task with a broad range of practical applications.
Ranked #1 on Cross-Modal Retrieval on MSCOCO-1k
1 code implementation • 6 Nov 2022 • Dennis Fedorishin, Deen Dayal Mohan, Bhavin Jawade, Srirangaraj Setlur, Venu Govindaraju
Existing work in this area focuses on creating attention maps to capture the correlation between the two modalities to localize the source of the sound.
1 code implementation • CVPR 2020 • Deen Dayal Mohan, Nishant Sankaran, Dennis Fedorishin, Srirangaraj Setlur, Venu Govindaraju
Deep metric learning leverages carefully designed sampling strategies and loss functions that aid in optimizing the generation of a discriminable embedding space.