Wei-Hong Li

According to our database, Wei-Hong Li authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Universal Representations: A Unified Look at Multiple Task and Domain Learning.

Wei-Hong Li, Xialei Liu, Hakan Bilen

Int. J. Comput. Vis., May, 2024

Multi-task Learning with 3D-Aware Regularization.

Wei-Hong Li, Steven McDonagh, Ales Leonardis, Hakan Bilen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Learning Relation Models to Detect Important People in Still Images.

Yukun Qiu, Fa-Ting Hong, Wei-Hong Li, Wei-Shi Zheng

IEEE Trans. Multim., 2023

2022

Learning Multiple Dense Prediction Tasks from Partially Annotated Data.

Wei-Hong Li, Xialei Liu, Hakan Bilen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-domain Few-shot Learning with Task-specific Adapters.

Wei-Hong Li, Xialei Liu, Hakan Bilen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Improving Task Adaptation for Cross-domain Few-shot Learning.

Wei-Hong Li, Xialei Liu, Hakan Bilen

CoRR, 2021

Network differentiation: A computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science.

Qiang Xu, Qiang Guo, Chun-Xia Wang, Song Zhang, Chuanbiao Wen, Tao Sun, Wei Peng, Jun Chen, Wei-Hong Li

Artif. Intell. Medicine, 2021

Universal Representation Learning from Multiple Domains for Few-shot Classification.

Wei-Hong Li, Xialei Liu, Hakan Bilen

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Knowledge Distillation for Multi-task Learning.

Wei-Hong Li, Hakan Bilen

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Learning to Impute: A General Framework for Semi-supervised Learning.

Wei-Hong Li, Chuan-Sheng Foo, Hakan Bilen

CoRR, 2019