activity
20172021
most citedImage Inpainting by End-to-End Cascaded Refinement with Mask Awareness

140 citations · 362 across the 16 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cs.CV2021★ 140 cited

Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness

Manyu Zhu, Dongliang He, Xin Li +5

Inpainting arbitrary missing regions is challenging because learning valid features for various masked regions is nontrivial. Though U-shaped encoder-decoder frameworks have been w…

cs.CV2021★ 10 cited

Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer

Tianwei Lin, Zhuoqi Ma, Fu Li +6

Artistic style transfer aims at migrating the style from an example image to a content image. Currently, optimization-based methods have achieved great stylization quality, but exp…

cs.CV2021★ 4 cited

Learning Semantic Person Image Generation by Region-Adaptive Normalization

Zhengyao Lv, Xiaoming Li, Xin Li +4

Human pose transfer has received great attention due to its wide applications, yet is still a challenging task that is not well solved. Recent works have achieved great success to…

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.CV2021★ 3 cited

Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones

Cheng Cui, Ruoyu Guo, Yuning Du +10

Recently, research efforts have been concentrated on revealing how pre-trained model makes a difference in neural network performance. Self-supervision and semi-supervised learning…

cs.CV2021★ 6 cited

MVFNet: Multi-View Fusion Network for Efficient Video Recognition

Wenhao Wu, Dongliang He, Tianwei Lin +3

Conventionally, spatiotemporal modeling network and its complexity are the two most concentrated research topics in video action recognition. Existing state-of-the-art methods have…