b-it-bots: Our Approach for Autonomous Robotics in Industrial Environments. - Abhishek Padalkar; Mohammad Wasil; Shweta Mahajan; Ramesh Kumar; Dharmin Bakaraniya; Raghuvir Shirodkar; Heruka Andradi; Deepan Padmanabhan; Carlo Wiesse; Ahmed Faisal Abdelrahman; Sushant Chavan; Naresh Gurulingan; et al. (RoboCup, 2019)

DExT: Detector Explanation Toolkit. - Deepan Chakravarthi Padmanabhan; Matias Valdenegro-Toro (CoRR, 2022)

LSFSL: Leveraging Shape Information in Few-shot Learning. - Deepan Chakravarthi Padmanabhan; Shruthi Gowda; Elahe Arani; Bahram Zonooz (CVPR Workshops, 2023)

DExT: Detector Explanation Toolkit. - Deepan Chakravarthi Padmanabhan; Paul G. Plöger; Octavio Arriaga; Matias Valdenegro-Toro (xAI (2), 2023)

Sanity Checks for Saliency Methods Explaining Object Detectors. - Deepan Chakravarthi Padmanabhan; Paul G. Plöger; Octavio Arriaga; Matias Valdenegro-Toro (xAI (1), 2023)

The Marine Debris Forward-Looking Sonar Datasets. - Matias Valdenegro-Toro; Deepan Chakravarthi Padmanabhan; Deepak Singh; Bilal Wehbe; Yvan Petillot (CoRR, 2025)