K. Ram Prabhakar

According to our database, K. Ram Prabhakar authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions.

Jiacong Xu, Mingqian Liao, K. Ram Prabhakar, Vishal M. Patel

CoRR, 2024

2023

CapsFlow: Optical Flow Estimation with Capsule Networks.

Rahul Chand, Rajat Arora, K. Ram Prabhakar, R. Venkatesh Babu

CoRR, 2023

2022

Segmentation Guided Deep HDR Deghosting.

K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu

CoRR, 2022

FEW-Shot Cross-Sensor Domain Adaptation Between SAR and Multispectral Data.

K. Ram Prabhakar, Veera Harikrishna Nukala, Jayavardhana Gubbi, Arpan Pal, Balamuralidhar P

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Improving SAR and Optical Image Fusion for Lulc Classification with Domain Knowledge.

K. Ram Prabhakar, Veera Harikrishna Nukala, Jayavardhana Gubbi, Arpan Pal, Balamuralidhar P

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

A Few-shot approach to MRI-based Knee Disorder Diagnosis using Fuzzy Layers.

Mohana Singh, K. Ram Prabhakar, Viswanath Pamulakanty Sudarshan, Murali Poduval, Arpan Pal, Jayavardhana Gubbi

Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022

2021

Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting.

K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu

IEEE Trans. Computational Imaging, 2021

Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions.

Vishal Vinod, K. Ram Prabhakar, R. Venkatesh Babu, Anirban Chakraborty

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting.

K. Ram Prabhakar, Gowtham Senthil, Susmit Agrawal, R. Venkatesh Babu, Rama Krishna Sai Subrahmanyam Gorthi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Few-Shot Domain Adaptation for Low Light RAW Image Enhancement.

K. Ram Prabhakar, Vishal Vinod, Nihar R. Sahoo, Venkatesh Babu Radhakrishnan

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation.

K. Ram Prabhakar, Akshaya Ramaswamy, Suvaansh Bhambri, Jayavardhana Gubbi, R. Venkatesh Babu, Balamuralidhar Purushothaman

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Towards Practical and Efficient High-Resolution HDR Deghosting with CNN.

K. Ram Prabhakar, Susmit Agrawal, Durgesh Kumar Singh, Balraj Ashwath, R. Venkatesh Babu

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

A Fast, Scalable, and Reliable Deghosting Method for Extreme Exposure Fusion.

K. Ram Prabhakar, Rajat Arora, Adhitya Swaminathan, Kunal Pratap Singh, R. Venkatesh Babu

Proceedings of the IEEE International Conference on Computational Photography, 2019

2017

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, 2017

2016

Ghosting free HDR for dynamic scenes via shift-maps.

K. Ram Prabhakar, R. Venkatesh Babu

Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Ghosting-free multi-exposure image fusion in gradient domain.

K. Ram Prabhakar, R. Venkatesh Babu

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016