Yanyun Zhao — accepted AI-conference papers

2021

SANet++: Enhanced Scale Aggregation with Densely Connected Feature Fusion for Crowd Counting

Siyang Pan, Yanyun Zhao, Fei Su, Zhicheng Zhao

ICASSP 2021accepted

Crowd counting has gained considerable attention recently but remains challenging mainly due to large scale variations. In this paper, we present SANet++ with a novel architecture to generate high-quality density maps and further perform accurate counting. SANet++ obtains enhanced multi-scale repres…

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2018

Scale Aggregation Network for Accurate and Efficient Crowd Counting

Xinkun Cao, Zhipeng Wang, Yanyun Zhao, Fei Su

ECCV 2018poster

In this paper, we propose a novel encoder-decoder network, called extit{Scale Aggregation Network (SANet)}, for accurate and efficient crowd counting. The encoder extracts multi-scale features with scale aggregation modules and the decoder generates high-resolution density maps by using a set of tra…

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