| Lsfsl: Leveraging shape information in few-shot learning DC Padmanabhan, S Gowda, E Arani, B Zonooz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Sanity checks for saliency methods explaining object detectors DC Padmanabhan, PG Plöger, O Arriaga, M Valdenegro-Toro World Conference on Explainable Artificial Intelligence, 438-455, 2023 | 2 | 2023 |
| DExT: Detector Explanation Toolkit DC Padmanabhan, PG Plöger, O Arriaga, M Valdenegro-Toro World Conference on Explainable Artificial Intelligence, 433-456, 2023 | 1 | 2023 |
| DExT: Detector Explanation Toolkit for Explaining Multiple Detections Using Saliency Methods DC Padmanabhan Hochschule Bonn-Rhein-Sieg, 2022 | 1 | 2022 |
| b-it-bots: our approach for autonomous robotics in industrial environments A Padalkar, M Wasil, S Mahajan, R Kumar, D Bakaraniya, R Shirodkar, ... RoboCup 2019: Robot World Cup XXIII 23, 591-602, 2019 | 1 | 2019 |
| Method for leveraging shape information in few-shot learning in artificial neural networks DC Padmanabhan, S Gowda, E Arani, B Zonooz US Patent App. 18/165,857, 2024 | | 2024 |
| Smart Automatic Configurator for Fast and Robust Fluid Structure Interaction Co-Simulations H Arjmandi, DC Padmanabhan International Association for the Engineering Analysis Community (NAFEMS …, 2021 | | 2021 |
| Extreme learning machine-based investigation on automated detection of architectural distortion in mammograms E Malar, PD Chakravarthi International Journal of Operational Research 41 (4), 477-491, 2021 | | 2021 |
| Design and Performance Evaluation of Ultra Thin Diaphragm Material for Pressure Sensing Applications AKPDC M. Alagappan International Journal of Applied Engineering Research (IJAER) 10 (55), 3807-3810, 2015 | | 2015 |
