Prasad, Dilip K.

9 publications

WACV 2024 Partial Binarization of Neural Networks for Budget-Aware Efficient Learning Udbhav Bamba, Neeraj Anand, Saksham Aggarwal, Dilip K. Prasad, Deepak K. Gupta

TMLR 2023 Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts Rohit Agarwal, Deepak Gupta, Alexander Horsch, Dilip K. Prasad

CVPRW 2023 Image Inpainting with Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy Ayush Somani, Pragyan Banerjee, Krishna Agarwal, Manu Rastogi, Dilip K. Prasad, Anowarul Habib

ICCVW 2023 RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning Rishabh Tiwari, Arnav Chavan, Deepak K. Gupta, Gowreesh Mago, Animesh Gupta, Akash Gupta, Suraj Sharan, Yukun Yang, Shanwei Zhao, Shihao Wang, Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen

ECCVW 2020 Single Image Dehazing for a Variety of Haze Scenarios Using Back Projected Pyramid Network Ayush Singh, Ajay Bhave, Dilip K. Prasad

CVPRW 2016 Strategies for Resolving Camera Metamers Using 3+1 Channel Dilip K. Prasad

CVPR 2014 Raw-to-Raw: Mapping Between Image Sensor Color Responses Rang Nguyen, Dilip K. Prasad, Michael S. Brown

ECCV 2014 Training-Based Spectral Reconstruction from a Single RGB Image Nguyen Ho Man Rang, Dilip K. Prasad, Michael S. Brown

ICCVW 2013 Quick Approximation of Camera's Spectral Response from Casual Lighting Dilip K. Prasad, Rang Ho Man Nguyen, Michael S. Brown