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20162022
most citedAn All-in-One Network for Dehazing and Beyond

137 citations · 262 across the 10 of their papers we have counts for

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Showing cs.CVShow all

5 papers · 1 filter

cs.CV2018

Affinity Derivation and Graph Merge for Instance Segmentation

Yiding Liu, Siyu Yang, Bin Li +4

We present an instance segmentation scheme based on pixel affinity information, which is the relationship of two pixels belonging to a same instance. In our scheme, we use two neur…

cs.CV2018★ 9 cited

Weakly Supervised Bilinear Attention Network for Fine-Grained Visual Classification

Tao Hu, Jizheng Xu, Cong Huang +3

For fine-grained visual classification, objects usually share similar geometric structure but present variant local appearance and different pose. Therefore, localizing and extract…

cs.CV2018★ 7 cited

Facial Landmarks Detection by Self-Iterative Regression based Landmarks-Attention Network

Tao Hu, Honggang Qi, Jizheng Xu +1

Cascaded Regression (CR) based methods have been proposed to solve facial landmarks detection problem, which learn a series of descent directions by multiple cascaded regressors se…

cs.CV2017★ 24 cited

End-to-End United Video Dehazing and Detection

Boyi Li, Xiulian Peng, Zhangyang Wang +2

The recent development of CNN-based image dehazing has revealed the effectiveness of end-to-end modeling. However, extending the idea to end-to-end video dehazing has not been expl…

cs.CV2017★ 137 cited

An All-in-One Network for Dehazing and Beyond

Boyi Li, Xiulian Peng, Zhangyang Wang +2

This paper proposes an image dehazing model built with a convolutional neural network (CNN), called All-in-One Dehazing Network (AOD-Net). It is designed based on a re-formulated a…