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 (IV, 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)

Probabilistic Collision Avoidance For Multiple Robots: A Closed Form PDF Approach. - Josyula Gopala Krishna; Anirudha Ramesh; K. Madhava Krishna (IV, 2021)

What Ails One-Shot Image Segmentation: A Data Perspective. - Mayur Hemani; Abhinav Patel; Tejas Shimpi; Anirudha Ramesh; Balaji Krishnamurthy (NeurIPS Datasets and Benchmarks, 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 (VISIGRAPP (5: VISAPP), 2021)

Enhancing Visual Domain Adaptation with Source Preparation. - Anirudha Ramesh; Anurag Ghosh; Christoph Mertz; Jeff Schneider 001 (CoRR, 2023)

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; et al. (ITSC, 2024)

Leveraging State Space Models in Long Range Genomics. - Matvei Popov; Aymen Kallala; Anirudha Ramesh; Narimane Hennouni; Shivesh Khaitan; Rick Gentry; Alain-Sam Cohen (CoRR, 2025)