汪琦｜南昌大学｜学者主页

2026

CLIP-based partial-wise prompt learning for unsupervised vehicle re-identification

Zeyu Zhang, Yuxin Liu, Qi Wang, Tianyu Li, Xiangru Chen, Xin Xiong, Jian Zhou

Expert Systems With Applications，Vol. 306

DOI

2025

CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification

Jiyang Xu, Qi Wang, Xin Xiong, Di Gai, Ruihua Zhou, Dong Wang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

Pseudo Label Purification with Dual Contrastive Learning for Unsupervised Vehicle Re-Identification

Jiyang Xu, Qi Wang, Xin Xiong, Weidong Min, Jiang Luo, Di Gai, Qing Han

Computers, materials & continua/Computers, materials & continua (Print)

DOI

2024

跨域联合学习与共享子空间度量的车辆重识别

汪琦，雪心远，闵卫东，汪晟，盖迪，韩清

《中国图象图形学报》

2023

Spatiotemporal Learning Transformer for Video-Based Human Pose Estimation

Di Gai, Runyang Feng, Weidong Min, Xiaosong Yang, Pengxiang Su, Qi Wang, Qing Han

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2023

Unsupervised Vehicle Re-Identification Based on Cross-Style Semi-Supervised Pre-Training and Feature Cross-Division

Guowei Zhan, Qi Wang, Weidong Min, Qing Han, Haoyu Zhao, Zitai Wei

Electronics

DOI

2023

Vehicle Logo Recognition Using Spatial Structure Correlation and YOLO-T

Song Li, Weidong Min, Linghua Zhou, Qi Wang, Haoyu Zhao

Sensors

DOI

2023

Dual similarity pre-training and domain difference encouragement learning for vehicle re-identification in the wild

Qi Wang, Yuling Zhong, Weidong Min, Haoyu Zhao, Di Gai, Qing Han

Pattern Recognition

DOI

2022

Swin Transformer Based on Two-Fold Loss and Background Adaptation Re-Ranking for Person Re-Identification

Qi Wang, Hao Huang, Yuling Zhong, Weidong Min, Qing Han, Desheng Xu, Changwen Xu

Electronics

DOI

2022

Need Only One More Point (NOOMP): Perspective Adaptation Crowd Counting in Complex Scenes

Haoyu Zhao, Qi Wang, Guowei Zhan, Weidong Min, Yi Feng Zou, Shimiao Cui

IEEE Transactions on Multimedia

DOI

2022

Scene-adaptive crowd counting method based on meta learning with dual-input network DMNet

Haoyu Zhao, Weidong Min, Jianqiang Xu, Qi Wang, Yi Feng Zou, Qiyan Fu

Frontiers of Computer Science

DOI

2021

基于细微差异识别与深度学习的车辆重识别研究

汪琦

《南昌大学》

2021

Inter-Domain Adaptation Label for Data Augmentation in Vehicle Re-Identification

Qi Wang, Weidong Min, Qing Han, Qian Liu, Cheng Zha, Haoyu Zhao, Zitai Wei

IEEE Transactions on Multimedia

DOI

2021

Viewpoint adaptation learning with cross-view distance metric for robust vehicle re-identification

Qi Wang, Weidong Min, Qing Han, Ziyuan Yang, Xin Xiong, Meng Si Zhu, Haoyu Zhao

Information Sciences

DOI

2020

Discriminative fine-grained network for vehicle re-identification using two-stage re-ranking

Qi Wang, Weidong Min, Daojing He, Song Zou, Tiemei Huang, Yu Zhang, Ruikang Liu

Science China Information Sciences

DOI

汪琦

精选作品

期刊论文

CLIP-based partial-wise prompt learning for unsupervised vehicle re-identification

CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification

Pseudo Label Purification with Dual Contrastive Learning for Unsupervised Vehicle Re-Identification

跨域联合学习与共享子空间度量的车辆重识别

Spatiotemporal Learning Transformer for Video-Based Human Pose Estimation

Unsupervised Vehicle Re-Identification Based on Cross-Style Semi-Supervised Pre-Training and Feature Cross-Division

Vehicle Logo Recognition Using Spatial Structure Correlation and YOLO-T

Dual similarity pre-training and domain difference encouragement learning for vehicle re-identification in the wild

Swin Transformer Based on Two-Fold Loss and Background Adaptation Re-Ranking for Person Re-Identification

Need Only One More Point (NOOMP): Perspective Adaptation Crowd Counting in Complex Scenes

Scene-adaptive crowd counting method based on meta learning with dual-input network DMNet

基于细微差异识别与深度学习的车辆重识别研究

Inter-Domain Adaptation Label for Data Augmentation in Vehicle Re-Identification

Viewpoint adaptation learning with cross-view distance metric for robust vehicle re-identification

Discriminative fine-grained network for vehicle re-identification using two-stage re-ranking

研究方向