6 citations · 11 across the 6 of their papers we have counts for
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Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining
Shangquan Sun, Wenqi Ren, Juxiang Zhou +3
Significant progress has been made in video restoration under rainy conditions over the past decade, largely propelled by advancements in deep learning. Nevertheless, existing meth…
EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
Shangquan Sun, Wenqi Ren, Zikun Liu +3
Image restoration has experienced significant advancements due to the development of deep learning. Nevertheless, it encounters challenges related to ill-posed problems, resulting…
A Hybrid Transformer-Mamba Network for Single Image Deraining
Shangquan Sun, Wenqi Ren, Juxiang Zhou +3
Existing deraining Transformers employ self-attention mechanisms with fixed-range windows or along channel dimensions, limiting the exploitation of non-local receptive fields. In r…
Restoring Images in Adverse Weather Conditions via Histogram Transformer
Shangquan Sun, Wenqi Ren, Xinwei Gao +2
Transformer-based image restoration methods in adverse weather have achieved significant progress. Most of them use self-attention along the channel dimension or within spatially f…
Logit Standardization in Knowledge Distillation
Shangquan Sun, Wenqi Ren, Jingzhi Li +2
Knowledge distillation involves transferring soft labels from a teacher to a student using a shared temperature-based softmax function. However, the assumption of a shared temperat…
Exploring the Robustness of Human Parsers Towards Common Corruptions
Sanyi Zhang, Xiaochun Cao, Rui Wang +2
Human parsing aims to segment each pixel of the human image with fine-grained semantic categories. However, current human parsers trained with clean data are easily confused by num…