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20202024
most citedLLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement

8 citations · 15 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.CV2022

On Mitigating Hard Clusters for Face Clustering

Yingjie Chen, Huasong Zhong, Chong Chen +5

Face clustering is a promising way to scale up face recognition systems using large-scale unlabeled face images. It remains challenging to identify small or sparse face image clust…

cs.CV20225 cited

FRIH: Fine-grained Region-aware Image Harmonization

Jinlong Peng, Zekun Luo, Liang Liu +6

Image harmonization aims to generate a more realistic appearance of foreground and background for a composite image. Existing methods perform the same harmonization process for the…

cs.CV2022

End-to-end video instance segmentation via spatial-temporal graph neural networks

Tao Wang, Ning Xu, Kean Chen +1

Video instance segmentation is a challenging task that extends image instance segmentation to the video domain. Existing methods either rely only on single-frame information for th…

cs.CV2021

Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformer

Tao Wang, Hong Liu, Pinhao Song +2

Occluded person re-identification is a challenging task as human body parts could be occluded by some obstacles (e.g. trees, cars, and pedestrians) in certain scenes. Some existing…

cs.CV2021

Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition

Tianyu Guo, Hong Liu, Zhan Chen +3

In recent years, self-supervised representation learning for skeleton-based action recognition has been developed with the advance of contrastive learning methods. The existing con…