93 citations · 119 across the 5 of their papers we have counts for
5 papers · 1 filter
Learning the Superpixel in a Non-iterative and Lifelong Manner
Lei Zhu, Qi She, Bin Zhang +4
Superpixel is generated by automatically clustering pixels in an image into hundreds of compact partitions, which is widely used to perceive the object contours for its excellent c…
Self-supervised Low Light Image Enhancement and Denoising
Yu Zhang, Xiaoguang Di, Bin Zhang +3
This paper proposes a self-supervised low light image enhancement method based on deep learning, which can improve the image contrast and reduce noise at the same time to avoid the…
Robust Two-Stream Multi-Feature Network for Driver Drowsiness Detection
Qi Shen, Shengjie Zhao, Rongqing Zhang +1
Drowsiness driving is a major cause of traffic accidents and thus numerous previous researches have focused on driver drowsiness detection. Many drive relevant factors have been ta…
Towards Adaptive Semantic Segmentation by Progressive Feature Refinement
Bin Zhang, Shengjie Zhao, Rongqing Zhang
As one of the fundamental tasks in computer vision, semantic segmentation plays an important role in real world applications. Although numerous deep learning models have made notab…
Self-supervised Image Enhancement Network: Training with Low Light Images Only
Yu Zhang, Xiaoguang Di, Bin Zhang +1
This paper proposes a self-supervised low light image enhancement method based on deep learning. Inspired by information entropy theory and Retinex model, we proposed a maximum ent…