5 citations · 12 across the 18 of their papers we have counts for
7 papers · 1 filter
HDRVideo-GAN: Deep Generative HDR Video Reconstruction
Mrinal Anand, Nidhin Harilal, Chandan Kumar +1
High dynamic range (HDR) videos provide a more visually realistic experience than the standard low dynamic range (LDR) videos. Despite having significant progress in HDR imaging, i…
HDR-cGAN: Single LDR to HDR Image Translation using Conditional GAN
Prarabdh Raipurkar, Rohil Pal, Shanmuganathan Raman
The prime goal of digital imaging techniques is to reproduce the realistic appearance of a scene. Low Dynamic Range (LDR) cameras are incapable of representing the wide dynamic ran…
Shadow Art Revisited: A Differentiable Rendering Based Approach
Kaustubh Sadekar, Ashish Tiwari, Shanmuganathan Raman
While recent learning based methods have been observed to be superior for several vision-related applications, their potential in generating artistic effects has not been explored…
RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly
Abhinav Narayan Harish, Rajendra Nagar, Shanmuganathan Raman
Autonomous assembly of objects is an essential task in robotics and 3D computer vision. It has been studied extensively in robotics as a problem of motion planning, actuator contro…
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks
Sudhakar Kumawat, Gagan Kanojia, Shanmuganathan Raman
Deep neural networks have enormous representational power which leads them to overfit on most datasets. Thus, regularizing them is important in order to reduce overfitting and enha…
APEX-Net: Automatic Plot Extractor Network
Aalok Gangopadhyay, Prajwal Singh, Shanmuganathan Raman
Automatic extraction of raw data from 2D line plot images is a problem of great importance having many real-world applications. Several algorithms have been proposed for solving th…