62 citations · 141 across the 10 of their papers we have counts for
12 papers
CrossFuse: Learning Infrared and Visible Image Fusion by Cross-Sensor Top-K Vision Alignment and Beyond
Yukai Shi, Cidan Shi, Zhipeng Weng +3
Infrared and visible image fusion (IVIF) is increasingly applied in critical fields such as video surveillance and autonomous driving systems. Significant progress has been made in…
Content-adaptive Representation Learning for Fast Image Super-resolution
Yukai Shi, Jinghui Qin
Deep convolutional networks have attracted great attention in image restoration and enhancement. Generally, restoration quality has been improved by building more and more convolut…
GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer
Yukai Shi, Sen Zhang, Chenxing Zhou +3
Non-parallel text style transfer has attracted increasing research interests in recent years. Despite successes in transferring the style based on the encoder-decoder framework, cu…
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Pengxu Wei, Hannan Lu, Radu Timofte +68
This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This ch…
Unsupervised Multi-view Clustering by Squeezing Hybrid Knowledge from Cross View and Each View
Junpeng Tan, Yukai Shi, Zhijing Yang +2
Multi-view clustering methods have been a focus in recent years because of their superiority in clustering performance. However, typical traditional multi-view clustering algorithm…
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
Kai Zhang, Shuhang Gu, Radu Timofte +60
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to super-resolve an input im…