Pengcheng Zhang

Orcid: 0000-0001-8585-7545

Affiliations:

Macquarie University, School of Computing, Sydney, Australia
Beihang University, School of Computer Science and Engineering, Jiangxi Research Institute, Beijing, China

According to our database¹, Pengcheng Zhang authored at least 15 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Fully Decoupled End-to-End Person Search: An Approach without Conflicting Objectives.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., July, 2025

Revisiting Continual Ultra-fine-grained Visual Recognition with Pre-trained Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Visual Perturbation for Text-Based Person Search.

[BibT_eX]

[DOI]

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

2024

Learning From Human Attention for Attribute-Assisted Visual Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Joint discriminative representation learning for end-to-end person search.

[BibT_eX]

[DOI]

Pattern Recognit., March, 2024

Towards effective person search with deep learning: A survey from systematic perspective.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Consistent prototype contrastive learning for weakly supervised person search.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2024

Embodied navigation with multi-modal information: A survey from tasks to methodology.

[BibT_eX]

[DOI]

Inf. Fusion, 2024

Prompting Continual Person Search.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Occluded Person Retrieval with Hierarchical Feature Optimization.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

2023

Information bottleneck and selective noise supervision for zero-shot learning.

[BibT_eX]

[DOI]

Mach. Learn., July, 2023

Diving into Continual Ultra-fine-grained Visual Categorization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Towards Fully Decoupled End-to-End Person Search.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

Learning multi-view visual correspondences with self-supervision.

[BibT_eX]

[DOI]

Displays, 2022

Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2022

Pengcheng Zhang

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