activity
20192025
most citedAIM 2019 Challenge on Constrained Super-Resolution: Methods and Results

19 citations · 31 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DC2025

A Structure-Aware Irregular Blocking Method for Sparse LU Factorization

Zhen Hu, Dongliang Xiong, Kai Huang +2

In sparse LU factorization, nonzero elements after symbolic factorization tend to distribute in diagonal and right-bottom region of sparse matrices. However, regular 2D blocking on…

cs.CV2023★ 7 cited

Efficient Halftoning via Deep Reinforcement Learning

Haitian Jiang, Dongliang Xiong, Xiaowen Jiang +3

Halftoning aims to reproduce a continuous-tone image with pixels whose intensities are constrained to two discrete levels. This technique has been deployed on every printer, and th…

cs.CV2022★ 5 cited

Halftoning with Multi-Agent Deep Reinforcement Learning

Haitian Jiang, Dongliang Xiong, Xiaowen Jiang +3

Deep neural networks have recently succeeded in digital halftoning using vanilla convolutional layers with high parallelism. However, existing deep methods fail to generate halfton…

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.IV2019★ 19 cited

AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results

Kai Zhang, Shuhang Gu, Radu Timofte +26

This paper reviews the AIM 2019 challenge on constrained example-based single image super-resolution with focus on proposed solutions and results. The challenge had 3 tracks. Takin…