activity
20182022
most citedMulti-Stage Progressive Image Restoration

54 citations · 98 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

8 papers · 1 filter

cs.CV2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

Yawei Li, Kai Zhang, Radu Timofte +108

This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-reso…

cs.CV202154 cited

Multi-Stage Progressive Image Restoration

Syed Waqas Zamir, Aditya Arora, Salman Khan +4

Image restoration tasks demand a complex balance between spatial details and high-level contextualized information while recovering images. In this paper, we propose a novel synerg…

cs.CV20215 cited

Low Light Image Enhancement via Global and Local Context Modeling

Aditya Arora, Muhammad Haris, Syed Waqas Zamir +4

Images captured under low-light conditions manifest poor visibility, lack contrast and color vividness. Compared to conventional approaches, deep convolutional neural networks (CNN…

cs.CV202020 cited

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

Pengxu Wei, Hannan Lu, Radu Timofte +68

This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This ch…

cs.CV2020

Learning Enriched Features for Real Image Restoration and Enhancement

Syed Waqas Zamir, Aditya Arora, Salman Khan +4

With the goal of recovering high-quality image content from its degraded version, image restoration enjoys numerous applications, such as in surveillance, computational photography…

cs.CV2019

AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces

Muhammad Haris Khan, John McDonagh, Salman Khan +5

Being heavily reliant on animals, it is our ethical obligation to improve their well-being by understanding their needs. Several studies show that animal needs are often expressed…