activity
20182025
most citedGridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing

133 citations · 185 across the 15 of their papers we have counts for

collaborators

15 papers

cs.CV2025★ 2 cited

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results

Zheng Chen, Kai Liu, Jue Gong +108

This paper presents the NTIRE 2025 image super-resolution (4) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025. The challenge aims to r…

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…

stat.ME2021★ 3 cited

Optimal False Discovery Rate Control for Large Scale Multiple Testing with Auxiliary Information

Hongyuan Cao, Jun Chen, Xianyang Zhang

Large-scale multiple testing is a fundamental problem in high dimensional statistical inference. It is increasingly common that various types of auxiliary information, reflecting t…

eess.IV2020★ 3 cited

AWNet: Attentive Wavelet Network for Image ISP

Linhui Dai, Xiaohong Liu, Chengqi Li +1

As the revolutionary improvement being made on the performance of smartphones over the last decade, mobile photography becomes one of the most common practices among the majority o…

eess.IV2020★ 29 cited

Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference

Xiaohong Liu, Kangdi Shi, Zhe Wang +1

To the best of our knowledge, the existing deep-learning-based Video Super-Resolution (VSR) methods exclusively make use of videos produced by the Image Signal Processor (ISP) of t…

cs.CV2020★ 2 cited

Video Frame Interpolation via Generalized Deformable Convolution

Zhihao Shi, Xiaohong Liu, Kangdi Shi +2

Video frame interpolation aims at synthesizing intermediate frames from nearby source frames while maintaining spatial and temporal consistencies. The existing deep-learning-based…