K. Ram Prabhakar

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Flow Estimation

Top Venues

Publications

Jiacong Xu, Mingqian Liao, K. Ram Prabhakar, Vishal M. Patel
Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions. CoRR (2024)
Rahul Chand, Rajat Arora, K. Ram Prabhakar, R. Venkatesh Babu
CapsFlow: Optical Flow Estimation with Capsule Networks. CoRR (2023)
K. Ram Prabhakar, Vishal Vinod, Nihar Ranjan Sahoo, R. Venkatesh Babu
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement. CoRR (2023)
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)
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)
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)
K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu
Segmentation Guided Deep HDR Deghosting. CoRR (2022)
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)
K. Ram Prabhakar, Vishal Vinod, Nihar R. Sahoo, Venkatesh Babu Radhakrishnan
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement. BMVC (2021)
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)
K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. IEEE Trans. Computational Imaging 7 (2021)
K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. CoRR (2021)
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)
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)
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)
K. Ram Prabhakar, V. Sai Srikar, R. Venkatesh Babu
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs. ICCV (2017)
K. Ram Prabhakar, V. Sai Srikar, R. Venkatesh Babu
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs. CoRR (2017)
K. Ram Prabhakar, R. Venkatesh Babu
Ghosting-free multi-exposure image fusion in gradient domain. ICASSP (2016)
K. Ram Prabhakar, R. Venkatesh Babu
Ghosting free HDR for dynamic scenes via shift-maps. ICVGIP (2016)