Changkun Ye

According to our database, Changkun Ye authored at least 6 papers between 2017 and 2024.

Collaborative distances:

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

2024

Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach.

Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Self-Calibrating Vicinal Risk Minimisation for Model Calibration.

Jiawei Liu, Changkun Ye, Ruikai Cui, Nick Barnes

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Latent-based Diffusion Model for Long-tailed Recognition.

Pengxiao Han, Changkun Ye, Jieming Zhou, Jing Zhang, Jie Hong, Xuesong Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Model Calibration in Dense Classification with Adaptive Label Perturbation.

Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning.

Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2017

Survival-Oriented Reinforcement Learning Model: An Effcient and Robust Deep Reinforcement Learning Algorithm for Autonomous Driving Problem.

Changkun Ye, Huimin Ma, Xiaoqin Zhang, Kai Zhang, Shaodi You

Proceedings of the Image and Graphics - 9th International Conference, 2017