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 • 1 Oct 2023 • Sandip Purnapatra, Humaira Rezaie, Bhavin Jawade, Yu Liu, Yue Pan, Luke Brosell, Mst Rumana Sumi, Lambert Igene, Alden Dimarco, Srirangaraj Setlur, Soumyabrata Dey, Stephanie Schuckers, Marco Huber, Jan Niklas Kolf, Meiling Fang, Naser Damer, Banafsheh Adami, Raul Chitic, Karsten Seelert, Vishesh Mistry, Rahul Parthe, Umit Kacar
The competition serves as an important benchmark in noncontact-based fingerprint PAD, offering (a) independent assessment of the state-of-the-art in noncontact-based fingerprint PAD for algorithms and systems, and (b) common evaluation protocol, which includes finger photos of a variety of Presentation Attack Instruments (PAIs) and live fingers to the biometric research community (c) provides standard algorithm and system evaluation protocols, along with the comparative analysis of state-of-the-art algorithms from academia and industry with both old and new android smartphones.
no code implementations • 21 Sep 2023 • Yuyang Chen, Praveen Raj Masilamani, Bhavin Jawade, Srirangaraj Setlur, Karthik Dantu
Additionally, for outdoor long-range settings, we remove the dependency on motion capture systems and adopt a low-cost, hybrid 3D computer vision and learning pipeline with only 4 low-cost RGB cameras, successfully achieving precise skeleton labeling on far-away subjects, even when their height is limited to a mere 20-25 pixels within an RGB frame.
1 code implementation • 3 Aug 2023 • Saleem Ahmed, Bhavin Jawade, Shubham Pandey, Srirangaraj Setlur, Venu Govindaraju
We present a comprehensive study of chart visual question-answering(QA) task, to address the challenges faced in comprehending and extracting data from chart visualizations within documents.
Ranked #3 on Chart Question Answering on RealCQA (using extra training 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.
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
no code implementations • IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) 2022 • Kyung Won Lee, Bhavin Jawade, Deen Mohan, Srirangaraj Setlur, and Venu Govindaraju
Person re-identification (re-ID) aims to retrieve images of the same identity from a gallery of person images across cameras and viewpoints.
Ranked #1 on Person Re-Identification on LTCC
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.