activity
20192021
most citedFFA-Net: Feature Fusion Attention Network for Single Image Dehazing

121 citations · 199 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2021★ 9 cited

AutoGEL: An Automated Graph Neural Network with Explicit Link Information

Zhili Wang, Shimin Di, Lei Chen

Recently, Graph Neural Networks (GNNs) have gained popularity in a variety of real-world scenarios. Despite the great success, the architecture design of GNNs heavily relies on man…

cs.CV2021★ 17 cited

Large Scale Visual Food Recognition

Weiqing Min, Zhiling Wang, Yuxin Liu +5

Food recognition plays an important role in food choice and intake, which is essential to the health and well-being of humans. It is thus of importance to the computer vision commu…

cs.CV2020★ 16 cited

ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network

Weiqing Min, Linhu Liu, Zhiling Wang +4

Food recognition has received more and more attention in the multimedia community for its various real-world applications, such as diet management and self-service restaurants. A l…

cs.CV2019★ 121 cited

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

Xu Qin, Zhilin Wang, Yuanchao Bai +2

In this paper, we propose an end-to-end feature fusion at-tention network (FFA-Net) to directly restore the haze-free image. The FFA-Net architecture consists of three key componen…

eess.IV2019★ 36 cited

NASNet: A Neuron Attention Stage-by-Stage Net for Single Image Deraining

Xu Qin, Zhilin Wang

Images captured under complicated rain conditions often suffer from noticeable degradation of visibility. The rain models generally introduce diversity visibility degradation, whic…