Zhe Cao

Orcid: 0009-0005-1556-8058

Affiliations:
  • Beijing Institute of Technology, School of Mechatronical Engineering, State Key Laboratory of Electromechanical Dynamic Control, Beijing, China


According to our database1, Zhe Cao authored at least 12 papers between 2023 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
IRGPT: Understanding Real-world Infrared Image with Bi-cross-modal Curriculum on Large-scale Benchmark.
CoRR, July, 2025

Visible-Infrared Person Re-Identification With Real-World Label Noise.
IEEE Trans. Circuits Syst. Video Technol., May, 2025

Cognition-Driven Structural Prior for Instance-Dependent Label Transition Matrix Estimation.
IEEE Trans. Neural Networks Learn. Syst., February, 2025

DBDB: de-bimodal defocus blur in joint infrared-visible imaging.
Vis. Intell., 2025

RADCI: A Synchronized Radar-RGBT Object Detecting-Tracking Dataset And A Benchmark.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Part-Aware Correlation Networks for Few-Shot Learning.
IEEE Trans. Multim., 2024

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition.
CoRR, 2024

Concentrating Estimation Attention: Human Prior Constrained Methods for Robust Classification.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Camouflaged Object Detection from Noisy Pseudo Label.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Few-Shot Infrared Image Classification with Partial Concept Feature.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

CTL-I: Infrared Few-Shot Learning via Omnidirectional Compatible Class-Incremental.
Proceedings of the Big Data Technologies and Applications, 2023


  Loading...