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 14 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.
Int. J. Comput. Vis., July, 2025

Visual Perturbation for Text-Based Person Search.
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.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Joint discriminative representation learning for end-to-end person search.
Pattern Recognit., March, 2024

Towards effective person search with deep learning: A survey from systematic perspective.
Pattern Recognit., 2024

Consistent prototype contrastive learning for weakly supervised person search.
J. Vis. Commun. Image Represent., 2024

Embodied navigation with multi-modal information: A survey from tasks to methodology.
Inf. Fusion, 2024

Prompting Continual Person Search.
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.
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.
Mach. Learn., July, 2023

Diving into Continual Ultra-fine-grained Visual Categorization.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Towards Fully Decoupled End-to-End Person Search.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022
Learning multi-view visual correspondences with self-supervision.
Displays, 2022

Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification.
Proceedings of the Computer Vision, 2022


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