27 citations · 62 across the 6 of their papers we have counts for
6 papers
NAFSSR: Stereo Image Super-Resolution Using NAFNet
Xiaojie Chu, Liangyu Chen, Wenqing Yu
Stereo image super-resolution aims at enhancing the quality of super-resolution results by utilizing the complementary information provided by binocular systems. To obtain reasonab…
Simple Baselines for Image Restoration
Liangyu Chen, Xiaojie Chu, Xiangyu Zhang +1
Although there have been significant advances in the field of image restoration recently, the system complexity of the state-of-the-art (SOTA) methods is increasing as well, which…
Improving Image Restoration by Revisiting Global Information Aggregation
Xiaojie Chu, Liangyu Chen, Chengpeng Chen +1
Global operations, such as global average pooling, are widely used in top-performance image restorers. They aggregate global information from input features along entire spatial di…
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…
HINet: Half Instance Normalization Network for Image Restoration
Liangyu Chen, Xin Lu, Jie Zhang +2
In this paper, we explore the role of Instance Normalization in low-level vision tasks. Specifically, we present a novel block: Half Instance Normalization Block (HIN Block), to bo…
Points as Queries: Weakly Semi-supervised Object Detection by Points
Liangyu Chen, Tong Yang, Xiangyu Zhang +2
We propose a novel point annotated setting for the weakly semi-supervised object detection task, in which the dataset comprises small fully annotated images and large weakly annota…