1 code implementation • 16 Mar 2023 • Mingliang Dai, Zhizhong Huang, Jiaqi Gao, Hongming Shan, Junping Zhang
To alleviate the negative impact of noisy annotations, we propose a novel crowd counting model with one convolution head and one transformer head, in which these two heads can supervise each other in noisy areas, called Cross-Head Supervision.
no code implementations • 27 Feb 2023 • Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu
Correspondingly, we propose a Dual Stream deep model for Stereotypical Behaviours Detection, DS-SBD, based on the temporal trajectory of human poses and the repetition patterns of human actions.
no code implementations • 21 Oct 2022 • Jingqi Li, Jiaqi Gao, Yuzhen Zhang, Hongming Shan, Junping Zhang
Specifically, we first extract the motion features from the encoded motion sequences in the shallow layer.
no code implementations • 6 May 2022 • Jiaqi Gao, Jingqi Li, Hongming Shan, Yanyun Qu, James Z. Wang, Fei-Yue Wang, Junping Zhang
Crowd counting has important applications in public safety and pandemic control.
2 code implementations • 13 Jan 2022 • Jiaqi Gao, Zhizhong Huang, Yiming Lei, Hongming Shan, James Z. Wang, Fei-Yue Wang, Junping Zhang
Specifically, we propose a Deep Rank-consistEnt pyrAmid Model (DREAM), which makes full use of rank consistency across coarse-to-fine pyramid features in latent spaces for enhanced crowd counting with massive unlabeled images.
1 code implementation • 10 Apr 2020 • Muhammad Tirmazi, Ran Ben Basat, Jiaqi Gao, Minlan Yu
In this paper, we leverage programmable switches in the network to partially offload query computation to the switch.
Databases Networking and Internet Architecture