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20162026
most citedLocalViT: Analyzing Locality in Vision Transformers

285 citations · 1.7k across the 292 of their papers we have counts for

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Showing 2020 · eess.IVShow all

14 papers · 2 filters

eess.IV2020

An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement

Dario Fuoli, Zhiwu Huang, Danda Pani Paudel +2

Video enhancement is a challenging problem, more than that of stills, mainly due to high computational cost, larger data volumes and the difficulty of achieving consistency in the…

eess.IV2020★ 6 cited

AIM 2020 Challenge on Rendering Realistic Bokeh

Andrey Ignatov, Radu Timofte, Ming Qian +32

This paper reviews the second AIM realistic bokeh effect rendering challenge and provides the description of the proposed solutions and results. The participating teams were solvin…

eess.IV2020

Learning to Improve Image Compression without Changing the Standard Decoder

Yannick Strümpler, Ren Yang, Radu Timofte

In recent years we have witnessed an increasing interest in applying Deep Neural Networks (DNNs) to improve the rate-distortion performance in image compression. However, the exist…

eess.IV2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Kai Zhang, Martin Danelljan, Yawei Li +75

This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…

eess.IV2020

Plug-and-Play Image Restoration with Deep Denoiser Prior

Kai Zhang, Yawei Li, Wangmeng Zuo +3

Recent works on plug-and-play image restoration have shown that a denoiser can implicitly serve as the image prior for model-based methods to solve many inverse problems. Such a pr…

eess.IV2020

NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results

Dario Fuoli, Zhiwu Huang, Martin Danelljan +18

This paper reviews the NTIRE 2020 challenge on video quality mapping (VQM), which addresses the issues of quality mapping from source video domain to target video domain. The chall…