12 citations · 14 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 12 cited
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection
Li Wang, Liang Du, Xiaoqing Ye +5
The objective of this paper is to learn context- and depth-aware feature representation to solve the problem of monocular 3D object detection. We make following contributions: (i)…
cs.CV2019★ 2 cited
CODA: Counting Objects via Scale-aware Adversarial Density Adaption
Li Wang, Yongbo Li, Xiangyang Xue
Recent advances in crowd counting have achieved promising results with increasingly complex convolutional neural network designs. However, due to the unpredictable domain shift, ge…
cs.CV2018
Crowd Counting with Density Adaption Networks
Li Wang, Weiyuan Shao, Yao Lu +3
Crowd counting is one of the core tasks in various surveillance applications. A practical system involves estimating accurate head counts in dynamic scenarios under different light…