Anirudha Ramesh

According to our database, Anirudha Ramesh authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Leveraging State Space Models in Long Range Genomics.

Matvei Popov, Aymen Kallala, Anirudha Ramesh, Narimane Hennouni, Shivesh Khaitan, Rick Gentry, Alain-Sam Cohen

CoRR, April, 2025

2024

Intelligent Railway Capacity and Traffic Management Using Multi-Agent Deep Reinforcement Learning.

Stefan Schneider, Anirudha Ramesh, Anne Roets, Ciprian Stirbu, Farhad Safaei, Faten Ghriss, Jan Wülfing, Mehmet Güra, Nima Sibon, Rick Gentry, Roman Liessner, Thomas Hustache, Thomas Lecat, Umashankar Deekshith, Valerii Markin, Victor Le, Wissam Bejjani, Michael Küpper, Irene Sturm

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

2023

Enhancing Visual Domain Adaptation with Source Preparation.

Anirudha Ramesh, Anurag Ghosh, Christoph Mertz, Jeff Schneider

CoRR, 2023

2021

BirdSLAM: Monocular Multibody SLAM in Bird's-eye View.

Swapnil Daga, Gokul B. Nair, Anirudha Ramesh, Rahul Sajnani, Junaid Ahmed Ansari, K. Madhava Krishna

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

What Ails One-Shot Image Segmentation: A Data Perspective.

Mayur Hemani, Abhinav Patel, Tejas Shimpi, Anirudha Ramesh, Balaji Krishnamurthy

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Probabilistic Collision Avoidance For Multiple Robots: A Closed Form PDF Approach.

Josyula Gopala Krishna, Anirudha Ramesh, K. Madhava Krishna

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

2020

Multi-object Monocular SLAM for Dynamic Environments.

Gokul B. Nair, Swapnil Daga, Rahul Sajnani, Anirudha Ramesh, Junaid Ahmed Ansari, K. Madhava Krishna

CoRR, 2020

Multi-object Monocular SLAM for Dynamic Environments.

Gokul B. Nair, Swapnil Daga, Rahul Sajnani, Anirudha Ramesh, Junaid Ahmed Ansari, Krishna Murthy Jatavallabhula, K. Madhava Krishna

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020