Research

Publications

• Journals

  1. Siyuan Huang, K. Ram Prabhakar, Yuxiang Guo, Chun Pong Lau, and Rama Chellappa, "Whole-body Detection, Identification and Recognition at Altitude and Range", IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM) 2024. (Paper) (Project page)

  2. K. Ram Prabhakar*, S. Agarwal*, and R. V. Babu, “Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting”, IEEE Transactions on Computational Imaging 2021. (Paper) (Code)

  3. Navchetan Awasthi, K. Ram Prabhakar, Sandeep Kumar Kalva, Manojit Pramanik, R. Venkatesh Babu, and Phaneendra K. Yalavarthy, "PA-Fuse: A Deep Supervised Approach for Fusion of Photoacoustic Images with Distinct Reconstruction Characteristics," Biomedical Optics Express 2019. 

• Conferences

  1. Jiacong Xu, M. Liao, K Ram Prabhakar, and V. M. Patel, “Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions” in ECCV 2024.

  2. Basudha Pal, A. Kannan, K Ram Prabhakar, A. O. Toole, R. Chellappa, “GAMMA-FACE: GAussian Mixture Models Amend Diffusion Models for Bias Mitigation in Face Images” in ECCV 2024.

  3. Y. Guo, S. Huang, K. Ram Prabhakar, C. Lau, R. Chellappa, and C. Peng, “Distillation-guided Representation Learning for Unconstrained Gait Recognition”, in IJCB 2024.

  4. C Banolia, K Ram Prabhakar, S Deshpande, "Monitorning Urban Flooding Using SAR - A Mumbai Case Study", ICDMAI 2023.

  5. Mohana Singh, K Ram Prabhakar, P Vishwanath, Murali Poduval, Arpan Pal, Jayavardhana Gubbi, "A Few-shot approach to MRI-based Knee Disorder Diagnosis using Fuzzy Layers," in ICVGIP 2022, IIT Gandhinagar, India. [Oral presentation]

  6. K Ram Prabhakar, V H Krishna, J Gubbi, A Pal, P Balamuralidhar, "Few-Shot Cross-Sensor Domain Adaptation between SAR and Multispectral Data", in IEEE IGARSS 2022, Kuala Lumpur, Malaysia.

  7. K Ram Prabhakar*, V H Krishna*, J Gubbi, A Pal, P Balamuralidhar, "Improving SAR and Optical Image Fusion for LULC Classification with Domain Knowledge", in IEEE IGARSS 2022, Kuala Lumpur, Malaysia.

  8. K Ram Prabhakar, Vishal Vinod*, Nihar Ranjan Sahoo*, and R Venkatesh Babu, "Few-Shot Domain Adaptation for Low Light RAW Image Enhancement", in BMVC 2021 [Paper] [Oral presentation] [Project page] *Best Student Paper (Runner up) Award* (Twitter) (News) (BMVC site)

  9. Vishal Vinod, K Ram Prabhakar, R. Venkatesh Babu and Anirban Chakraborty, "Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions", in 1st ILDAV workshop, ICCV 2021 online. [Paper] 

  10. K Ram Prabhakar, V H Krishna, M Nayak, J Gubbi, P Balamuralidhar, "Multi-scale Attention Guided Recurrent Neural Network for Deformation Map Forecasting", in SPIE RS symposium 2021, Madrid, Spain. [Oral presentation]

  11. K Ram Prabhakar, G Senthil, S Agrawal, R. V. Babu, R. K. Gorthi, "Labeled from Unlabeled: Exploiting Unlabeled Data for Few-shot Deep HDR Deghosting", in CVPR 2021. [Code] [Paper] [Video] [27% acceptance rate]

  12. K Ram Prabhakar, S Agrawal, D K Singh, B Ashwath, R. V. Babu, "Towards Practical and Efficient High-Resolution HDR Deghosting with CNN", in ECCV 2020.  [Poster] [27% acceptance rate]

  13. K Ram Prabhakar, Akshaya Ramaswamy, Suvaansh Bhambri, Jayavardhana Gubbi, R. Venkatesh Babu, and Balamuralidhar Purushothaman, "CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation", in IJCNN 2020 at Glasgow, Scotland.

  14. K Ram Prabhakar*, Rajat Arora*, Adhitya Swaminathan, Kunal Pratap Singh, and R. Venkatesh Babu, "A fast, scalable and reliable deghosting method for extreme exposure fusion", in ICCP 2019 at Tokyo, Japan [Oral presentation] [GitHub].  * - equal contribution. 

  15. K Ram Prabhakar, V Sai Srikar and R. Venkatesh Babu, "DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs", in ICCV 2017 at Venice, Italy [28% acceptance rate] [Code].

  16. K Ram Prabhakar and R. Venkatesh Babu, "Ghosting-Free Multi-Exposure Image Fusion in Gradient Domain", in ICASSP 2016 at Shanghai, China [Project] [Code].

  17. K. Ram Prabhakar and R. Venkatesh Babu, "Ghosting Free HDR for Dynamic Scenes via Shift-maps", in ICVGIP 2016 at IIT Guwahati. [Poster]

• Preprints

  1. R Chand, R Arora, K Ram Prabhakar, R. Venkatesh Babu, "CapsFlow: Optical Flow Estimation with Capsule Networks", arXiv preprint arXiv:2304.00306.

Talks

• Invited talk on “Recent Advances in Computer Vision” at Acharya Institute of Technology, Bangalore (October 2021).

• Invited on “Deep Learning for Computational Photography” at Sapthagiri College of Engineering, Bangalore (September 2021).

• Invited talk on “AI, ML and DL for Computer Vision” at SSM Institute of Engineering and Technology (June 2021).

• Invited talk on “Deep Learning for Computer Vision” at K.L.N College of Engineering in a 6-day Faculty Development Programme sponsored by Anna University (June 2021).

• Conducted hands-on tutorial on "Introduction to Tensorflow" at National Level Seminar on  "Multimodal  based big data analytics for emotion -depression prediction and prevention" at Coimbatore Institute of Technology on 21st August 2017.

• Conducted three day tutorial on "Computer Vision with Deep Learning" at Valeo India Pvt., Ltd., Chennai (May 2018).