4 citations · 14 across the 5 of their papers we have counts for
5 papers
C3-STISR: Scene Text Image Super-resolution with Triple Clues
Minyi Zhao, Miao Wang, Fan Bai +3
Scene text image super-resolution (STISR) has been regarded as an important pre-processing task for text recognition from low-resolution scene text images. Most recent approaches u…
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification
Minyi Zhao, Lu Zhang, Yi Xu +3
Recent works have empirically shown the effectiveness of data augmentation (DA) in NLP tasks, especially for those suffering from data scarcity. Intuitively, given the size of gene…
Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction
Minyi Zhao, Yi Xu, Shuigeng Zhou
A number of deep learning based algorithms have been proposed to recover high-quality videos from low-quality compressed ones. Among them, some restore the missing details of each…
Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information
Yi Xu, Minyi Zhao, Jing Liu +4
Many deep learning based video compression artifact removal algorithms have been proposed to recover high-quality videos from low-quality compressed videos. Recently, methods were…
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…