19 citations · 20 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 19 cited
BBA-net: A bi-branch attention network for crowd counting
Yi Hou, Chengyang Li, Fan Yang +5
In the field of crowd counting, the current mainstream CNN-based regression methods simply extract the density information of pedestrians without finding the position of each perso…
cs.CV2021★ 1 cited
TANet++: Triple Attention Network with Filtered Pointcloud on 3D Detection
Cong Ma
TANet is one of state-of-the-art 3D object detection method on KITTI and JRDB benchmark, the network contains a Triple Attention module and Coarse-to-Fine Regression module to impr…
cs.CV2018
Trajectory Factory: Tracklet Cleaving and Re-connection by Deep Siamese Bi-GRU for Multiple Object Tracking
Cong Ma, Changshui Yang, Fan Yang +4
Multi-Object Tracking (MOT) is a challenging task in the complex scene such as surveillance and autonomous driving. In this paper, we propose a novel tracklet processing method to…