| Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation JN Kundu, A Kulkarni, A Singh, V Jampani, RV Babu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 159 | 2021 |
| Balancing Discriminability and Transferability for Source-Free Domain Adaptation JN Kundu, AR Kulkarni, S Bhambri, D Mehta, SA Kulkarni, V Jampani, ... International Conference on Machine Learning, 11710-11728, 2022 | 121 | 2022 |
| Deep Learning Based Stair Detection and Statistical Image Filtering for Autonomous Stair Climbing U Patil, A Gujarathi, A Kulkarni, A Jain, L Malke, R Tekade, K Paigwar, ... 2019 Third IEEE International Conference on Robotic Computing (IRC), 159-166, 2019 | 53 | 2019 |
| Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation JN Kundu, S Bhambri, A Kulkarni, H Sarkar, V Jampani, RV Babu European Conference on Computer Vision, 177-194, 2022 | 33 | 2022 |
| Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation S Sanyal, AR Asokan, S Bhambri, A Kulkarni, JN Kundu, RV Babu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 30 | 2023 |
| Subsidiary Prototype Alignment for Universal Domain Adaptation JN Kundu, S Bhambri, AR Kulkarni, H Sarkar, V Jampani, ... Advances in Neural Information Processing Systems 35, 29649-29662, 2022 | 27 | 2022 |
| A Review of Video Generation Approaches R Bhagwatkar, S Bachu, K Fitter, A Kulkarni, S Chiddarwar 2020 International Conference on Power, Instrumentation, Control and …, 2020 | 16 | 2020 |
| Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation JN Kundu, AR Kulkarni, S Bhambri, V Jampani, VB Radhakrishnan Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1220-1227, 2022 | 14 | 2022 |
| Data Efficient Stagewise Knowledge Distillation A Kulkarni, N Panchi, SC Raparthy, S Chiddarwar arXiv preprint arXiv:1911.06786, 2019 | 10 | 2019 |
| Interpretable Generative Models through Post-hoc Concept Bottlenecks A Kulkarni, G Yan, CE Sun, T Oikarinen, TW Weng Proceedings of the Computer Vision and Pattern Recognition Conference, 8162-8171, 2025 | 7 | 2025 |
| Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation S Sanyal, AR Asokan, S Bhambri, P YM, A Kulkarni, JN Kundu, RV Babu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 6 | 2024 |
| Design and Development of Autonomous Delivery Robot A Gujarathi, A Kulkarni, U Patil, Y Phalak, R Deotalu, A Jain, N Panchi, ... arXiv preprint arXiv:2103.09229, 2021 | 5 | 2021 |
| Interpreting Neurons in Deep Vision Networks with Language Models N Bai, RA Iyer, T Oikarinen, AR Kulkarni, TW Weng Transactions on Machine Learning Research, 2025 | 3 | 2025 |
| Rethinking Crowd-Sourced Evaluation of Neuron Explanations T Oikarinen, G Yan, A Kulkarni, TW Weng arXiv preprint arXiv:2506.07985, 2025 | 1 | 2025 |
| Interpretability-Guided Test-Time Adversarial Defense A Kulkarni, TW Weng European Conference on Computer Vision, 466-483, 2024 | 1 | 2024 |
| Paying Attention to Video Generation R Bhagwatkar, K Fitter, S Bachu, A Kulkarni, S Chiddarwar NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 139-154, 2021 | 1 | 2021 |
| Interpretable and Steerable Concept Bottleneck Sparse Autoencoders A Kulkarni, TW Weng, V Narayanaswamy, S Liu, WA Sakla, K Thopalli arXiv preprint arXiv:2512.10805, 2025 | | 2025 |
| ReFIne: A Framework for Trustworthy Large Reasoning Models with Reliability, Faithfulness, and Interpretability CE Sun, G Yan, A Kulkarni, TW Weng arXiv preprint arXiv:2510.09062, 2025 | | 2025 |
| Towards Deployable Multi-Domain Learning for Inductive-Transductive Transfer JN Kundu, A Agarwalla, S Bhambri, A Kulkarni, V Jampani, ... | | 2021 |
Jogendra Nath KunduResearch Scientist, MetaVerified email at iisc.ac.in
