| 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 | 193 | 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 | 59* | 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 | 37 | 2021 |
| HOLMES: Hyper-relational knowledge graphs for multi-hop question answering using LLMs P Panda, A Agarwal, C Devaguptapu, M Kaul, P Ap Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 32 | 2024 |
| 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 | 13 | 2024 |
| Hybrid graphs for table-and-text based question answering using llms A Agarwal, C Devaguptapu arXiv preprint arXiv:2501.17767, 2025 | 7 | 2025 |
| Adaptive llm routing under budget constraints P Panda, R Magazine, C Devaguptapu, S Takemori, V Sharma arXiv preprint arXiv:2508.21141, 2025 | 4 | 2025 |
| Towards a Training Free Approach for 3D Scene Editing V Madhavaram, S Rawat, C Devaguptapu, C Sharma, M Kaul 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV …, 2025 | 2 | 2025 |
| 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 |
| Computer implemented method for question answering P PANDA, A Agarwal, CNSK DEVAGUPTAPU US Patent App. 19/225,227, 2025 | | 2025 |
| Evaluating Compound AI Systems through Behaviors, Not Benchmarks P Bhagat, KNA Shastry, P Panda, C Devaguptapu Findings of the Association for Computational Linguistics: EMNLP 2025, 24193 …, 2025 | | 2025 |
| Can LLMs Help You at Work? A Sandbox for Evaluating LLM Agents in Enterprise Environments H Vishwakarma, A Agarwal, O Patil, C Devaguptapu, M Chandran Proceedings of the 2025 Conference on Empirical Methods in Natural Language …, 2025 | | 2025 |
| Finding Needles in Images: Can Multi-modal LLMs Locate Fine Details? P Thakkar, A Agarwal, P Kasu, P Bansal, C Devaguptapu Proceedings of the 63rd Annual Meeting of the Association for Computational …, 2025 | | 2025 |
| 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 |
| -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 | | |
