Changshuo Wang

According to our database, Changshuo Wang authored at least 19 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

EDS-Depth: Enhancing Self-Supervised Monocular Depth Estimation in Dynamic Scenes.

Shangshu Yu, Meiqing Wu, Siew-Kei Lam, Changshuo Wang, Ruiping Wang

IEEE Trans. Intell. Transp. Syst., April, 2025

Looking Clearer With Text: A Hierarchical Context Blending Network for Occluded Person Re-Identification.

Changshuo Wang, Xingyu Gao, Meiqing Wu, Siew-Kei Lam, Shuting He, Prayag Tiwari

IEEE Trans. Inf. Forensics Secur., 2025

Comprehensive disentanglement with fine-grained feature mitigation for domain generalization.

Youjia Shao, Changshuo Wang, Qihang Jia, Wencang Zhao

Neural Networks, 2025

Learning discriminative topological structure information representation for 2D shape and social network classification via persistent homology.

Changshuo Wang, Rongsheng Cao, Ruiping Wang

Knowl. Based Syst., 2025

FlexUOD: The Answer to Real-world Unsupervised Image Outlier Detection.

Zhonghang Liu, Kun Zhou, Changshuo Wang, Wen-Yan Lin, Jiangbo Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Point Clouds Meets Physics: Dynamic Acoustic Field Fitting Network for Point Cloud Understanding.

Changshuo Wang, Shuting He, Xiang Fang, Jiawei Han, Zhonghang Liu, Xin Ning, Weijun Li, Prayag Tiwari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation.

Changshuo Wang, Shuting He, Xiang Fang, Meiqing Wu, Siew-Kei Lam, Prayag Tiwari

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network.

Xiang Fang, Wanlong Fang, Changshuo Wang, Daizong Liu, Keke Tang, Jianfeng Dong, Pan Zhou, Beibei Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

3D Person Re-Identification Based on Global Semantic Guidance and Local Feature Aggregation.

Changshuo Wang, Xin Ning, Weijun Li, Xiao Bai, Xingyu Gao

IEEE Trans. Circuits Syst. Video Technol., June, 2024

Enhancement, integration, expansion: Activating representation of detailed features for occluded person re-identification.

Enhao Ning, Yangfan Wang, Changshuo Wang, Huang Zhang, Xin Ning

Neural Networks, January, 2024

PointGT: A Method for Point-Cloud Classification and Segmentation Based on Local Geometric Transformation.

Huang Zhang, Changshuo Wang, Long Yu, Shengwei Tian, Xin Ning, Joel J. P. C. Rodrigues

IEEE Trans. Multim., 2024

Pedestrian 3D Shape Understanding for Person Re-Identification via Multi-View Learning.

Zaiyang Yu, Lusi Li, Jinlong Xie, Changshuo Wang, Weijun Li, Xin Ning

IEEE Trans. Circuits Syst. Video Technol., 2024

Deformation depth decoupling network for point cloud domain adaptation.

Huang Zhang, Xin Ning, Changshuo Wang, Enhao Ning, Lusi Li

Neural Networks, 2024

Occluded person re-identification with deep learning: A survey and perspectives.

Enhao Ning, Changshuo Wang, Huang Zhang, Xin Ning, Prayag Tiwari

Expert Syst. Appl., 2024

GPSFormer: A Global Perception and Local Structure Fitting-Based Transformer for Point Cloud Understanding.

Changshuo Wang, Meiqing Wu, Siew-Kei Lam, Xin Ning, Shangshu Yu, Ruiping Wang, Weijun Li, Thambipillai Srikanthan

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Deep learning-based 3D point cloud classification: A systematic survey and outlook.

Huang Zhang, Changshuo Wang, Shengwei Tian, Baoli Lu, Liping Zhang, Xin Ning, Xiao Bai

Displays, September, 2023

Pedestrian Re-ID based on feature consistency and contrast enhancement.

Enhao Ning, Canlong Zhang, Changshuo Wang, Xin Ning, Hao Chen, Xiao Bai

Displays, September, 2023

2022

Learning Discriminative Features by Covering Local Geometric Space for Point Cloud Analysis.

Changshuo Wang, Xin Ning, Linjun Sun, Liping Zhang, Weijun Li, Xiao Bai

IEEE Trans. Geosci. Remote. Sens., 2022

2021

A brief survey on RGB-D semantic segmentation using deep learning.

Changshuo Wang, Chen Wang, Weijun Li, Haining Wang

Displays, 2021