activity
20142021
most citedResidual Attention Network for Image Classification

313 citations · 483 across the 15 of their papers we have counts for

collaborators

15 papers

eess.IV2021

Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report

Andrey Ignatov, Kim Byeoung-su, Radu Timofte +29

Image denoising is one of the most critical problems in mobile photo processing. While many solutions have been proposed for this task, they are usually working with synthetic data…

eess.IV2021★ 4 cited

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results

Ren Yang, Radu Timofte, Jing Liu +69

This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results. In this challenge, the new Large-scale Di…

cs.CV2019★ 5 cited

Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild

Yu Rong, Ziwei Liu, Cheng Li +2

Though much progress has been achieved in single-image 3D human recovery, estimating 3D model for in-the-wild images remains a formidable challenge. The reason lies in the fact tha…

cs.CV2019★ 28 cited

One-shot Face Reenactment

Yunxuan Zhang, Siwei Zhang, Yue He +3

To enable realistic shape (e.g. pose and expression) transfer, existing face reenactment methods rely on a set of target faces for learning subject-specific traits. However, in rea…

cs.CV2019★ 4 cited

Disentangling Content and Style via Unsupervised Geometry Distillation

Wayne Wu, Kaidi Cao, Cheng Li +2

It is challenging to disentangle an object into two orthogonal spaces of content and style since each can influence the visual observation differently and unpredictably. It is rare…

cs.CV2019★ 10 cited

TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation

Wayne Wu, Kaidi Cao, Cheng Li +2

Unsupervised image-to-image translation aims at learning a mapping between two visual domains. However, learning a translation across large geometry variations always ends up with…