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K. Ram Prabhakar
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2020 – today
- 2024
- [i6]Jiacong Xu, Mingqian Liao, K. Ram Prabhakar, Vishal M. Patel:
Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions. CoRR abs/2403.14053 (2024) - 2023
- [i5]K. Ram Prabhakar, Vishal Vinod, Nihar Ranjan Sahoo, R. Venkatesh Babu:
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement. CoRR abs/2303.15528 (2023) - [i4]Rahul Chand, Rajat Arora, K. Ram Prabhakar, R. Venkatesh Babu:
CapsFlow: Optical Flow Estimation with Capsule Networks. CoRR abs/2304.00306 (2023) - 2022
- [c12]Mohana Singh, K. Ram Prabhakar, Viswanath Pamulakanty Sudarshan, Murali Poduval, Arpan Pal, Jayavardhana Gubbi:
A Few-shot approach to MRI-based Knee Disorder Diagnosis using Fuzzy Layers. ICVGIP 2022: 52:1-52:9 - [c11]K. Ram Prabhakar, Veera Harikrishna Nukala, Jayavardhana Gubbi, Arpan Pal, Balamuralidhar P:
Improving SAR and Optical Image Fusion for Lulc Classification with Domain Knowledge. IGARSS 2022: 711-714 - [c10]K. Ram Prabhakar, Veera Harikrishna Nukala, Jayavardhana Gubbi, Arpan Pal, Balamuralidhar P:
FEW-Shot Cross-Sensor Domain Adaptation Between SAR and Multispectral Data. IGARSS 2022: 763-766 - [i3]K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu:
Segmentation Guided Deep HDR Deghosting. CoRR abs/2207.01229 (2022) - 2021
- [j1]K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu:
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. IEEE Trans. Computational Imaging 7: 1228-1239 (2021) - [c9]K. Ram Prabhakar, Vishal Vinod, Nihar R. Sahoo, Venkatesh Babu Radhakrishnan:
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement. BMVC 2021: 327 - [c8]K. Ram Prabhakar, Gowtham Senthil, Susmit Agrawal, R. Venkatesh Babu, Rama Krishna Sai Subrahmanyam Gorthi:
Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting. CVPR 2021: 4875-4885 - [c7]Vishal Vinod, K. Ram Prabhakar, R. Venkatesh Babu, Anirban Chakraborty:
Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions. ICCVW 2021: 1571-1582 - [i2]K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu:
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. CoRR abs/2112.13050 (2021) - 2020
- [c6]K. Ram Prabhakar, Susmit Agrawal, Durgesh Kumar Singh, Balraj Ashwath, R. Venkatesh Babu:
Towards Practical and Efficient High-Resolution HDR Deghosting with CNN. ECCV (21) 2020: 497-513 - [c5]K. Ram Prabhakar, Akshaya Ramaswamy, Suvaansh Bhambri, Jayavardhana Gubbi, R. Venkatesh Babu, Balamuralidhar Purushothaman:
CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c4]K. Ram Prabhakar, Rajat Arora, Adhitya Swaminathan, Kunal Pratap Singh, R. Venkatesh Babu:
A Fast, Scalable, and Reliable Deghosting Method for Extreme Exposure Fusion. ICCP 2019: 1-8 - 2017
- [c3]K. Ram Prabhakar, V. Sai Srikar, R. Venkatesh Babu:
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs. ICCV 2017: 4724-4732 - [i1]K. Ram Prabhakar, V. Sai Srikar, R. Venkatesh Babu:
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs. CoRR abs/1712.07384 (2017) - 2016
- [c2]K. Ram Prabhakar, R. Venkatesh Babu:
Ghosting-free multi-exposure image fusion in gradient domain. ICASSP 2016: 1766-1770 - [c1]K. Ram Prabhakar, R. Venkatesh Babu:
Ghosting free HDR for dynamic scenes via shift-maps. ICVGIP 2016: 57:1-57:8
Coauthor Index
aka: R. Venkatesh Babu
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