Wei-Hong Li

Orcid: 0000-0003-4942-822X

Affiliations:
  • University of Bristol, School of Computer Science, Bristol, UK
  • Chinese University of Hong Kong, MMLab, Hong Kong (2024 - 2025)
  • University of Edinburgh, School of Informatics, Edinburgh, UK (PhD 2022)
  • Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China (2015 - 2018)


According to our database1, Wei-Hong Li authored at least 24 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Prime and Reach: Synthesising Body Motion for Gaze-Primed Object Reach.
CoRR, December, 2025

3D-Aware Multi-Task Learning with Cross-View Correlations for Dense Scene Understanding.
CoRR, November, 2025

FairGen: Enhancing Fairness in Text-to-Image Diffusion Models via Self-Discovering Latent Directions.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Universal Representations: A Unified Look at Multiple Task and Domain Learning.
Int. J. Comput. Vis., May, 2024

Bifröst: 3D-Aware Image Compositing with Language Instructions.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-task Learning with 3D-Aware Regularization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Learning Relation Models to Detect Important People in Still Images.
IEEE Trans. Multim., 2023

2022
Learning Multiple Dense Prediction Tasks from Partially Annotated Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-domain Few-shot Learning with Task-specific Adapters.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Improving Task Adaptation for Cross-domain Few-shot Learning.
CoRR, 2021

Universal Representation Learning from Multiple Domains for Few-shot Classification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Knowledge Distillation for Multi-task Learning.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

MINI-Net: Multiple Instance Ranking Network for Video Highlight Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
One-pass person re-identification by sketch online discriminant analysis.
Pattern Recognit., 2019

Learning to Impute: A General Framework for Semi-supervised Learning.
CoRR, 2019

Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks.
Proceedings of the Image and Graphics - 10th International Conference, 2019

Learning to Learn Relation for Important People Detection in Still Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Large-Scale Visible Watermark Detection and Removal with Deep Convolutional Networks.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

PersonRank: Detecting Important People in Images.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

2017
Correlation Based Identity Filter: An Efficient Framework for Person Search.
Proceedings of the Image and Graphics - 9th International Conference, 2017

2016
Sketch metric learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014
A Delaunay-Based Temporal Coding Model for Micro-expression Recognition.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014


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