activity
20182024
most citedBBA-net: A bi-branch attention network for crowd counting

19 citations · 34 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MM2024

PiGW: A Plug-in Generative Watermarking Framework

Rui Ma, Mengxi Guo, Li Yuming +5

Integrating watermarks into generative images is a critical strategy for protecting intellectual property and enhancing artificial intelligence security. This paper proposes Plug-i…

stat.ML2023★ 1 cited

Unraveling Projection Heads in Contrastive Learning: Insights from Expansion and Shrinkage

Yu Gui, Cong Ma, Yiqiao Zhong

We investigate the role of projection heads, also known as projectors, within the encoder-projector framework (e.g., SimCLR) used in contrastive learning. We aim to demystify the o…

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★ 13 cited

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…