Chaoqun Du

According to our database, Chaoqun Du authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

BAPE: Learning an Explicit Bayes Classifier for Long-tailed Visual Recognition.

Chaoqun Du, Yulin Wang, Shiji Song, Gao Huang

CoRR, June, 2025

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment.

Jiayi Guo, Junhao Zhao, Chaoqun Du, Yulin Wang, Chunjiang Ge, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang

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

2024

Probabilistic Contrastive Learning for Long-Tailed Visual Recognition.

Chaoqun Du, Yulin Wang, Shiji Song, Gao Huang

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

UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation.

Chaoqun Du, Yulin Wang, Jiayi Guo, Yizeng Han, Jie Zhou, Gao Huang

CoRR, 2024

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment.

Jiayi Guo, Junhao Zhao, Chunjiang Ge, Chaoqun Du, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang

CoRR, 2024

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning.

Chaoqun Du, Yizeng Han, Gao Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

The High Separation Probability Assumption for Semi-Supervised Learning.

Gao Huang, Chaoqun Du

IEEE Trans. Syst. Man Cybern. Syst., 2022

Assessing a Single Image in Reference-Guided Image Synthesis.

Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022