Shuting He

Orcid: 0000-0002-1582-5684

According to our database1, Shuting He authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Region Generation and Assessment Network for Occluded Person Re-Identification.
IEEE Trans. Inf. Forensics Secur., 2024

Context-Aware Integration of Language and Visual References for Natural Language Tracking.
CoRR, 2024

2023
Transformer-Based Domain-Specific Representation for Unsupervised Domain Adaptive Vehicle Re-Identification.
IEEE Trans. Intell. Transp. Syst., March, 2023

Prototype Adaption and Projection for Few- and Zero-Shot 3D Point Cloud Semantic Segmentation.
IEEE Trans. Image Process., 2023

VGSG: Vision-Guided Semantic-Group Network for Text-based Person Search.
CoRR, 2023

Region Generation and Assessment Network for Occluded Person Re-Identification.
CoRR, 2023

GREC: Generalized Referring Expression Comprehension.
CoRR, 2023

MOSE: A New Dataset for Video Object Segmentation in Complex Scenes.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
TransReID: Transformer-based Object Re-Identification.
CoRR, 2021

TransReID: Transformer-based Object Re-Identification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

An Empirical Study of Vehicle Re-Identification on the AI City Challenge.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification.
CoRR, 2020

Multi-Domain Learning and Identity Mining for Vehicle Re-Identification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A robust reliability prediction method using Weighted Least Square Support Vector Machine equipped with Chaos Modified Particle Swarm Optimization and Online Correcting Strategy.
Appl. Soft Comput., 2019


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