1 code implementation • 25 Oct 2023 • Prajwal Singh, Dwip Dalal, Gautam Vashishtha, Krishna Miyapuram, Shanmuganathan Raman
Reconstruction of visual images from brain Electroencephalography (EEG) signals has garnered a lot of interest due to its applications in brain-computer interfacing.
no code implementations • 6 Jul 2023 • Dwip Dalal, Gautam Vashishtha, Prajwal Singh, Shanmuganathan Raman
Digital imaging aims to replicate realistic scenes, but Low Dynamic Range (LDR) cameras cannot represent the wide dynamic range of real scenes, resulting in under-/overexposed images.
no code implementations • 23 Jun 2023 • Aalok Gangopadhyay, Abhinav Narayan Harish, Prajwal Singh, Shanmuganathan Raman
We have proposed a self-supervised deep learning framework for solving the mesh blending problem in scenarios where the meshes are not in correspondence.
1 code implementation • 7 Oct 2021 • Prajwal Singh, Kaustubh Sadekar, Shanmuganathan Raman
Point cloud is one of the widely used techniques for representing and storing 3D geometric data.
no code implementations • 27 Jan 2021 • Kaustubh Sadekar, Ashish Tiwari, Prajwal Singh, Shanmuganathan Raman
This work proposes LS-HDIB - a large-scale handwritten document image binarization dataset containing over a million document images that span numerous real-world scenarios.
1 code implementation • 15 Jan 2021 • Aalok Gangopadhyay, Prajwal Singh, Shanmuganathan Raman
To minimize this intervention, we propose APEX-Net, a deep learning based framework with novel loss functions for solving the plot extraction problem.