10 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 10 cited
Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting
Fusen Wang, Kai Liu, Fei Long +3
Currently, for crowd counting, the fully supervised methods via density map estimation are the mainstream research directions. However, such methods need location-level annotation…
cs.CV2021
Hybrid attention network based on progressive embedding scale-context for crowd counting
Fusen Wang, Jun Sang, Zhongyuan Wu +2
The existing crowd counting methods usually adopted attention mechanism to tackle background noise, or applied multi-level features or multi-scales context fusion to tackle scale v…
cs.CR2021★ 4 cited
A deep learning based known plaintext attack method for chaotic cryptosystem
Fusen Wang, Jun Sang, Qi Liu +2
In this paper, we propose a known-plaintext attack (KPA) method based on deep learning for traditional chaotic encryption scheme. We employ the convolutional neural network to lear…