activity
20162026
most citedReference-Based Face Super-Resolution Using the Spatial Transformer

3 citations · 5 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2026

FSFVE: Few Shot Compressed Face Video Enhancement

Varun Ramesh Jois, Antonella DiLillo, James Storer

Videocalling has become a popular form of communication in the world today, with many companies providing free services for it. However, there are still millions of people around t…

cs.CV2026

RTFVE: Realtime Face Video Enhancement

Varun Ramesh Jois, Antonella DiLillo, James Storer

There's been a surge in adoption of video conferencing applications for both personal and business use cases. However, the bandwidth limitations faced by many users worldwide may r…

cs.CV2026★ 3 cited

Reference-Based Face Super-Resolution Using the Spatial Transformer

Varun Ramesh Jois, Antonella DiLillo, James Storer

Face super-resolution is the task of increasing the resolution of an image containing a face thereby adding finer detail. It is a ubiquitous task in many computer vision applicatio…

cs.CV2018

Protecting JPEG Images Against Adversarial Attacks

Aaditya Prakash, Nick Moran, Solomon Garber +2

As deep neural networks (DNNs) have been integrated into critical systems, several methods to attack these systems have been developed. These adversarial attacks make imperceptible…

cs.CV2018

Deflecting Adversarial Attacks with Pixel Deflection

Aaditya Prakash, Nick Moran, Solomon Garber +2

CNNs are poised to become integral parts of many critical systems. Despite their robustness to natural variations, image pixel values can be manipulated, via small, carefully craft…

cs.MM2016★ 2 cited

Semantic Perceptual Image Compression using Deep Convolution Networks

Aaditya Prakash, Nick Moran, Solomon Garber +2

It has long been considered a significant problem to improve the visual quality of lossy image and video compression. Recent advances in computing power together with the availabil…