no code implementations • 7 Apr 2025 • Matvei Popov, Aymen Kallala, Anirudha Ramesh, Narimane Hennouni, Shivesh Khaitan, Rick Gentry, Alain-Sam Cohen
Long-range dependencies are critical for understanding genomic structure and function, yet most conventional methods struggle with them.
no code implementations • 16 Jun 2023 • Anirudha Ramesh, Anurag Ghosh, Christoph Mertz, Jeff Schneider
Our Almost Unsupervised Domain Adaptation (AUDA) framework, a label-efficient semi-supervised approach for robotic scenarios -- employs Source Preparation (SP), Unsupervised Domain Adaptation (UDA) and Supervised Alignment (SA) from limited labeled data.
no code implementations • 15 Nov 2020 • Swapnil Daga, Gokul B. Nair, Anirudha Ramesh, Rahul Sajnani, Junaid Ahmed Ansari, K. Madhava Krishna
In this paper, we present BirdSLAM, a novel simultaneous localization and mapping (SLAM) system for the challenging scenario of autonomous driving platforms equipped with only a monocular camera.
no code implementations • 10 Feb 2020 • Gokul B. Nair, Swapnil Daga, Rahul Sajnani, Anirudha Ramesh, Junaid Ahmed Ansari, Krishna Murthy Jatavallabhula, K. Madhava Krishna
In this paper, we tackle the problem of multibody SLAM from a monocular camera.