Publications

Research contributions in computer vision and machine learning, published in top-tier conferences and journals.

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Recent Publications

2025

Prime and Reach: Synthesising Body Motion for Gaze-Primed Object Reach
Masashi Hatano, Saptarshi Sinha, Jacob Chalk, Wei-Hong Li, Hideo Saito, Dima Damen
Preprint
arXiv • Project Page
3D-Aware Multi-Task Learning with Cross-View Correlations for Dense Scene Understanding
Xiaoye Wang, Chen Tang, Xiangyu Yue, Wei-Hong Li
Preprint
arXiv • Code
UniSTD: Towards Unified Spatio-Temporal Prediction across Diverse Disciplines
Chen Tang, Xinzhu Ma, Encheng Su, Xiufeng Song, Xiaohong Liu, Wei-Hong Li, Lei Bai, Wanli Ouyang, Xiangyu Yue
CVPR 2025
arXiv • Code
FairGen: Enhancing Fairness in Text-to-Image Diffusion Models via Self-Discovering Latent Directions
Yilei Jiang, Wei-Hong Li, Yiyuan Zhang, Minghong Cai, Xiangyu Yue
ICCV 2025
arXiv

2024

Bifröst: 3D-Aware Image compositing with Language Instructions
Lingxiao Li, Kaixiong Gong, Wei-Hong Li, Xili Dai, Tao Chen, Xiaojun Yuan, Xiangyu Yue
NeurIPS 2024
arXiv • Code
Multi-task Learning with 3D-Aware Regularization
Wei-Hong Li, Steven McDonagh, Ales Leonardis, Hakan Bilen
ICLR 2024
OpenReview • arXiv • Code

2023

Universal Representations: A Unified Look at Multiple Task and Domain Learning
Wei-Hong Li, Xialei Liu, Hakan Bilen
IJCV 2023
arXiv • Springer • Code

2022

Learning Multiple Dense Prediction Tasks from Partially Annotated Data
Wei-Hong Li, Xialei Liu, Hakan Bilen
CVPR 2022 (Oral) Best Paper Finalist
Project Page • CVF • arXiv • Code
Cross-domain Few-shot Learning with Task-specific Adapters
Wei-Hong Li, Xialei Liu, Hakan Bilen
CVPR 2022
Project Page • CVF • arXiv • Code
Learning Relation Models to Detect Important People in Still Images
Yu-Kun Qiu, Fa-Ting Hong, Wei-Hong Li, Wei-Shi Zheng
TMM 2022
IEEE
Learning universal representations across tasks and domains
Wei-Hong Li
PhD Thesis, University of Edinburgh 2022 BMVA Sullivan Doctoral Thesis Prize Runner-Up
PhD Thesis

2021

Universal Representation Learning from Multiple Domains for Few-shot Classification
Wei-Hong Li, Xialei Liu, Hakan Bilen
ICCV 2021
Project Page • CVF • arXiv • Code

2020

Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection
Fa-Ting Hong, Wei-Hong Li, Wei-Shi Zheng
CVPR 2020
CVF
Knowledge Distillation for Multi-task Learning
Wei-Hong Li, Hakan Bilen
ECCV Workshop 2020
Project Page • arXiv • Code

2019

Learning to Learn Relation for Important People Detection in Still Images
Wei-Hong Li, Fa-Ting Hong, Wei-Shi Zheng
CVPR 2019
CVF

Earlier Works

Correlation based Identity Filter: An Efficient Framework For Person Search
Wei-Hong Li, Yafang Mao, Ancong Wu, Wei-Shi Zheng
ICIG 2017 (Oral) Best Paper Award
Springer
Sketch metric learning
Yuting Mai, Wei-Hong Li, Yongyi Tang, Xixi Bi, Wei-Shi Zheng
IJCNN 2016
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