2 citations · 3 across the 5 of their papers we have counts for
6 papers
Deep Generative Adversarial Network for Occlusion Removal from a Single Image
Sankaraganesh Jonna, Moushumi Medhi, Rajiv Ranjan Sahay
Nowadays, the enhanced capabilities of in-expensive imaging devices have led to a tremendous increase in the acquisition and sharing of multimedia content over the Internet. Despit…
PAG-Net: Progressive Attention Guided Depth Super-resolution Network
Arpit Bansal, Sankaraganesh Jonna, Rajiv R. Sahay
In this paper, we propose a novel method for the challenging problem of guided depth map super-resolution, called PAGNet. It is based on residual dense networks and involves the at…
My camera can see through fences: A deep learning approach for image de-fencing
Sankaraganesh Jonna, Krishna Kanth Nakka, Rajiv R. Sahay
In recent times, the availability of inexpensive image capturing devices such as smartphones/tablets has led to an exponential increase in the number of images/videos captured. How…
Towards an Automated Image De-fencing Algorithm Using Sparsity
Sankaraganesh Jonna, Krishna K. Nakka, Rajiv R. Sahay
Conventional approaches to image de-fencing suffer from non-robust fence detection and are limited to processing images of static scenes. In this position paper, we propose an auto…
Stereo image de-fencing using smartphones
Sankaraganesh Jonna, Sukla Satapathy, Rajiv R. Sahay
Conventional approaches to image de-fencing have limited themselves to using only image data in adjacent frames of the captured video of an approximately static scene. In this work…
Deep learning based fence segmentation and removal from an image using a video sequence
Sankaraganesh Jonna, Krishna K. Nakka, Rajiv R. Sahay
Conventional approaches to image de-fencing use multiple adjacent frames for segmentation of fences in the reference image and are limited to restoring images of static scenes only…