| Borrow from Anywhere: Pseudo Multi-modal Object Detection in Thermal Imagery C Devaguptapu, N Akolekar, MM Sharma, VN Balasubramanian IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019 | 148 | 2019 |
| On Adversarial Robustness: A Neural Architecture Search perspective C Devaguptapu, D Agarwal, G Mittal, V N Balasubramanian 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2020 | 40* | 2020 |
| On initial pools for deep active learning AL Chandra, SV Desai, C Devaguptapu, VN Balasubramanian NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 14-32, 2021 | 21 | 2021 |
| Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation S Katageri, A De, C Devaguptapu, V Prasad, C Sharma, M Kaul Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 3 | 2024 |
| Δ-networks for efficient model patching C Devaguptapu, S Sinha, KJ Joseph, VN Balasubramanian, A Garg CoRR, 2023 | 1 | 2023 |
| Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract) A Ashok, C Devaguptapu, VN Balasubramanian Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12905 …, 2022 | 1 | 2022 |
| Semantic Graph Consistency: Going Beyond Patches for Regularizing Self-Supervised Vision Transformers C Devaguptapu, S Aithal, S Ramasubramanian, M Yamada, M Kaul arXiv preprint arXiv:2406.12944, 2024 | | 2024 |
| HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs P Panda, A Agarwal, C Devaguptapu, M Kaul arXiv preprint arXiv:2406.06027, 2024 | | 2024 |
| -Patching: A Framework for Rapid Adaptation of Pre-trained Convolutional Networks without Base Performance Loss C Devaguptapu, S Sinha, KJ Joseph, VN Balasubramanian, A Garg arXiv preprint arXiv:2303.14772, 2023 | | 2023 |
| Partial Label Learning meets Active Learning: Enhancing Annotation Efficiency through Binary Questioning S Rawat, C Devaguptapu, VN Balasubramanian | | |
