Wei-Hong Li

According to our database, Wei-Hong Li authored at least 10 papers between 2019 and 2023.

Collaborative distances:

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

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

Multi-task Learning with 3D-Aware Regularization.

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

CoRR, 2023

2022

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

Wei-Hong Li, Xialei Liu, Hakan Bilen

CoRR, 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