80 citations · 174 across the 16 of their papers we have counts for
5 papers · 1 filter
How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth Forecasting
Sauradip Nag, Nisarg Shah, Anran Qi +1
In this paper we present a novel self-supervised method to anticipate the depth estimate for a future, unobserved real-world urban scene. This work is the first to explore self-sup…
Can No-reference features help in Full-reference image quality estimation?
Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah
Development of perceptual image quality assessment (IQA) metrics has been of significant interest to computer vision community. The aim of these metrics is to model quality of an i…
Towards Device Efficient Conditional Image Generation
Nisarg A. Shah, Gaurav Bharaj
We present a novel algorithm to reduce tensor compute required by a conditional image generation autoencoder without sacrificing quality of photo-realistic image generation. Our me…
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images
Huihui Fang, Fei Li, Huazhu Fu +28
Age-related macular degeneration (AMD) is the leading cause of visual impairment among elderly in the world. Early detection of AMD is of great importance, as the vision loss cause…
Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding
Sourya Dipta Das, Saikat Dutta, Nisarg A. Shah +2
Convolutional Neural Network models have successfully detected retinal illness from optical coherence tomography (OCT) and fundus images. These CNN models frequently rely on vast a…