Deepfuse: A deep unsupervised approach for exposure fusion with extreme exposure image pairs K Ram Prabhakar, V Sai Srikar, R Venkatesh Babu Proceedings of the IEEE international conference on computer vision, 4714-4722, 2017 | 667 | 2017 |
Towards Practical and Efficient High-Resolution HDR Deghosting with CNN KR Prabhakar, S Agrawal, DK Singh, B Ashwath, RV Babu ECCV 2020, 497--513, 2020 | 58 | 2020 |
A Fast, Scalable, and Reliable Deghosting Method for Extreme Exposure Fusion KR Prabhakar, R Arora, A Swaminathan, KP Singh, RV Babu ICCP, 2019 | 58 | 2019 |
Ghosting-free multi-exposure image fusion in gradient domain KR Prabhakar, RV Babu 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 44 | 2016 |
Labeled from unlabeled: Exploiting unlabeled data for few-shot deep hdr deghosting KR Prabhakar, G Senthil, S Agrawal, RV Babu, RKSS Gorthi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 32 | 2021 |
PA-Fuse: deep supervised approach for the fusion of photoacoustic images with distinct reconstruction characteristics N Awasthi, KR Prabhakar, SK Kalva, M Pramanik, RV Babu, ... Biomedical optics express 10 (5), 2227-2243, 2019 | 26 | 2019 |
Self-gated memory recurrent network for efficient scalable HDR deghosting KR Prabhakar, S Agrawal, RV Babu IEEE Transactions on Computational Imaging 7, 1228-1239, 2021 | 11 | 2021 |
Cdnet++: Improved change detection with deep neural network feature correlation KR Prabhakar, A Ramaswamy, S Bhambri, J Gubbi, RV Babu, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 8 | 2020 |
Multi-domain conditional image translation: Translating driving datasets from clear-weather to adverse conditions V Vinod, KR Prabhakar, RV Babu, A Chakraborty Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 7 | 2021 |
Improving sar and optical image fusion for lulc classification with domain knowledge KR Prabhakar, VH Nukala, J Gubbi, A Pal, P Balamuralidhar IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 4 | 2022 |
Whole-body detection, recognition and identification at altitude and range S Huang, RP Kathirvel, CP Lau, R Chellappa arXiv preprint arXiv:2311.05725, 2023 | 3 | 2023 |
Multi-scale attention guided recurrent neural network for deformation map forecasting VH Nukala, M Nayak, J Gubbi, B Purushothaman Image and Signal Processing for Remote Sensing XXVII 11862, 154-159, 2021 | 3 | 2021 |
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement KR Prabhakar, V Vinod, NR Sahoo, RV Babu British Machine Vision Conference, 2021 | 3 | 2021 |
Ghosting free hdr for dynamic scenes via shift-maps KR Prabhakar, RV Babu Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and …, 2016 | 2 | 2016 |
Monitoring Urban Flooding Using SAR—A Mumbai Case Study C Banolia, KR Prabhakar, S Deshpande International Conference on Data Management, Analytics & Innovation, 59-68, 2023 | 1 | 2023 |
Segmentation Guided Deep HDR Deghosting KR Prabhakar, S Agrawal, RV Babu arXiv preprint arXiv:2207.01229, 2022 | 1 | 2022 |
Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions J Xu, M Liao, KR Prabhakar, VM Patel arXiv preprint arXiv:2403.14053, 2024 | | 2024 |
Gaussian Harmony: Attaining Fairness in Diffusion-based Face Generation Models B Pal, A Kannan, RP Kathirvel, AJ O'Toole, R Chellappa arXiv preprint arXiv:2312.14976, 2023 | | 2023 |
Self-Supervised Learning of Whole and Component-Based Semantic Representations for Person Re-Identification S Huang, Y Zhou, RP Kathirvel, R Chellappa, CP Lau arXiv preprint arXiv:2311.17074, 2023 | | 2023 |
GADER: GAit DEtection and Recognition in the Wild Y Guo, C Peng, R Prabhakar, CP Lau, R Chellappa arXiv preprint arXiv:2307.14578, 2023 | | 2023 |