94 citations · 150 across the 9 of their papers we have counts for
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eess.IV2022★ 9 cited
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
Bin Xia, Yulun Zhang, Yitong Wang +4
Blind image super-resolution (Blind-SR) aims to recover a high-resolution (HR) image from its corresponding low-resolution (LR) input image with unknown degradations. Most of the e…
cs.CV2022★ 1 cited
Global Spectral Filter Memory Network for Video Object Segmentation
Yong Liu, Ran Yu, Jiahao Wang +4
This paper studies semi-supervised video object segmentation through boosting intra-frame interaction. Recent memory network-based methods focus on exploiting inter-frame temporal…
cs.CV2022★ 2 cited
Structured Sparsity Learning for Efficient Video Super-Resolution
Bin Xia, Jingwen He, Yulun Zhang +4
The high computational costs of video super-resolution (VSR) models hinder their deployment on resource-limited devices, (e.g., smartphones and drones). Existing VSR models contain…