no code implementations • 4 Jan 2024 • Yukang Zhang, Yang Lu, Yan Yan, Hanzi Wang, Xuelong Li
Specifically, we propose a novel Frequency Domain Nuances Mining (FDNM) method to explore the cross-modality frequency domain information, which mainly includes an amplitude guided phase (AGP) module and an amplitude nuances mining (ANM) module.
1 code implementation • 14 Apr 2023 • Xinwen Fan, Yukang Zhang, Yang Lu, Hanzi Wang
Pedestrian attribute recognition (PAR) has received increasing attention because of its wide application in video surveillance and pedestrian analysis.
no code implementations • 26 Mar 2023 • Yukang Zhang, Yan Yan, Jie Li, Hanzi Wang
Furthermore, to better disentangle the modality-relevant features and the modality-irrelevant features, we propose a novel Center-Quadruplet Causal (CQC) loss to encourage the network to effectively learn the modality-relevant features and the modality-irrelevant features.
1 code implementation • CVPR 2023 • Yukang Zhang, Hanzi Wang
The proposed DEEN can effectively generate diverse embeddings to learn the informative feature representations and reduce the modality discrepancy between the VIS and IR images.
Ranked #1 on Cross-Modal Person Re-Identification on SYSU-MM01
no code implementations • 1 Mar 2023 • Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, DaCheng Tao
Automated machine learning (AutoML) seeks to build ML models with minimal human effort.
no code implementations • 2 Feb 2023 • Lei Tan, Yukang Zhang, ShengMei Shen, Yan Wang, Pingyang Dai, Xianming Lin, Yongjian Wu, Rongrong Ji
Cross-spectral person re-identification, which aims to associate identities to pedestrians across different spectra, faces a main challenge of the modality discrepancy.