发表成果
实验室发表的学术论文、会议论文与期刊文章。
2025
Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression
Siqi Wu, Yinda Chen, Dong Liu, Zhihai He
AAAI Conference on Artificial Intelligence · 2025
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
Yi Zhang, Chun-Wun Cheng, Junyi He, Zhihai He, Carola-Bibiane Schönlieb, Yuyan Chen, Angelica I Aviles-Rivero
AAAI Conference on Artificial Intelligence · 2025
2023
Critical Sampling for Data-Driven Modeling of Unknown Dynamical Systems
Ce Zhang, Siqi Wu, Zhihai He, Zhao Joy Sun
In Conference on Robot Learning · 2023
Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation
Xueting Hu, Ce Zhang, Yi Zhang, Bowen Hai, Ke Yu, Zhihai He
In Winter Conference on Computer Vision · 2023
Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation
Zhehan Kan, Shuoshuo Chen, Zeng Li, Zhihai He
In European Conference on Computer Vision · 2023
Cross-inferential networks for source-free unsupervised domain adaptation
Yushun Tang, Qinghai Guo, Zhihai He
In IEEE International Conference on Image Processing · 2023
BDC-Adapter Brownian Distance Covariance for Better Vision-Language Reasoning
Yi Zhang, Ce Zhang, Zihan Liao, Yushun Tang, Zhihai He
In British Machine Vision Conference · 2023
Unsupervised Prototype Adapter for Vision-Language Models
Yi Zhang, Ce Zhang, Xueting Hu, Zhihai He
In IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2023
Cycle optimization metric learning for few-shot classification
Qifan Liu, Wenming Cao, Zhihai He
Pattern Recognition: The Journal of the Pattern Recognition Society · 2023
Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems
Ce Zhang, Kailiang Wu, Zhihai He
IEEE Transactions on Artificial Intelligence · 2023
Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation
Zhehan Kan, Shuoshuo Chen, Ce Zhang, Yushun Tang, Zhihai He
In IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2023
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
Yushun Tang, Ce Zhang, Heng Xu, Shuoshuo Chen, Jie Cheng, Luziwei Leng, Qinghai Guo, Zhihai He
In IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2023
2022
Self-guided information for few-shot classification
Zhineng Zhao, Qifan Liu, Wenming Cao, Deliang Lian, Zhihai He
Pattern Recognition: The Journal of the Pattern Recognition Society · 2022