A Delaunay-Based Temporal Coding Model for Micro-expression Recognition. - Zhaoyu Lu; Ziqi Luo; Huicheng Zheng; Jikai Chen; Wei-Hong Li 001 (ACCV Workshops (2), 2014)

Sketch metric learning. - Yuting Mai; Wei-Hong Li 001; Yongyi Tang; Xixi Bi; Wei-Shi Zheng 001 (IJCNN, 2016)

Correlation Based Identity Filter: An Efficient Framework for Person Search. - Wei-Hong Li 001; Yafang Mao; Ancong Wu; Wei-Shi Zheng 001 (ICIG (1), 2017)

PersonRank: Detecting Important People in Images. - Wei-Hong Li 001; Benchao Li; Wei-Shi Zheng 001 (FG, 2018)

Large-Scale Visible Watermark Detection and Removal with Deep Convolutional Networks. - Danni Cheng; Xiang Li 032; Wei-Hong Li 001; Chan Lu; Fake Li; Hua Zhao; Wei-Shi Zheng 001 (PRCV (3), 2018)

Learning to Learn Relation for Important People Detection in Still Images. - Wei-Hong Li 001; Fa-Ting Hong; Wei-Shi Zheng 001 (CVPR, 2019)

Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks. - Xiang Li 032; Chan Lu; Danni Cheng; Wei-Hong Li 001; Mei Cao; Bo Liu; Jiechao Ma; Wei-Shi Zheng 001 (ICIG (1), 2019)

Learning to Impute: A General Framework for Semi-supervised Learning. - Wei-Hong Li 001; Chuan-Sheng Foo; Hakan Bilen (CoRR, 2019)

One-pass person re-identification by sketch online discriminant analysis. - Wei-Hong Li 001; Zhuowei Zhong 001; Wei-Shi Zheng 001 (Pattern Recognit., 2019)

Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection. - Fa-Ting Hong; Wei-Hong Li 001; Wei-Shi Zheng 001 (CVPR, 2020)

MINI-Net: Multiple Instance Ranking Network for Video Highlight Detection. - Fa-Ting Hong; Xuanteng Huang; Wei-Hong Li 001; Wei-Shi Zheng 001 (ECCV (13), 2020)

Knowledge Distillation for Multi-task Learning. - Wei-Hong Li 001; Hakan Bilen (ECCV Workshops (6), 2020)

Universal Representation Learning from Multiple Domains for Few-shot Classification. - Wei-Hong Li 001; Xialei Liu; Hakan Bilen (ICCV, 2021)

Improving Task Adaptation for Cross-domain Few-shot Learning. - Wei-Hong Li 001; Xialei Liu; Hakan Bilen (CoRR, 2021)

Cross-domain Few-shot Learning with Task-specific Adapters. - Wei-Hong Li 001; Xialei Liu; Hakan Bilen (CVPR, 2022)

Learning Multiple Dense Prediction Tasks from Partially Annotated Data. - Wei-Hong Li 001; Xialei Liu; Hakan Bilen (CVPR, 2022)

Learning Relation Models to Detect Important People in Still Images. - Yukun Qiu; Fa-Ting Hong; Wei-Hong Li 001; Wei-Shi Zheng 001 (IEEE Trans. Multim., 2023)

Multi-task Learning with 3D-Aware Regularization. - Wei-Hong Li 001; Steven McDonagh 001; Ales Leonardis; Hakan Bilen (ICLR, 2024)

Bifröst: 3D-Aware Image Compositing with Language Instructions. - Lingxiao Li; Kaixiong Gong; Wei-Hong Li 001; Xili Dai; Tao Chen 003; Xiaojun Yuan; Xiangyu Yue 001 (NeurIPS, 2024)

Universal Representations: A Unified Look at Multiple Task and Domain Learning. - Wei-Hong Li 001; Xialei Liu; Hakan Bilen (Int. J. Comput. Vis., 2024)

UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines. - Chen Tang; Xinzhu Ma; Encheng Su; Xiufeng Song; Xiaohong Liu 001; Wei-Hong Li 001; Lei Bai 001; Wanli Ouyang; Xiangyu Yue 001 (CVPR, 2025)

FairGen: Enhancing Fairness in Text-to-Image Diffusion Models via Self-Discovering Latent Directions. - Yilei Jiang; Wei-Hong Li 001; Yiyuan Zhang; Minghong Cai; Xiangyu Yue 001 (ICCV, 2025)

3D-Aware Multi-Task Learning with Cross-View Correlations for Dense Scene Understanding. - Xiaoye Wang; Chen Tang; Xiangyu Yue 001; Wei-Hong Li 001 (CoRR, 2025)

Prime and Reach: Synthesising Body Motion for Gaze-Primed Object Reach. - Masashi Hatano; Saptarshi Sinha; Jacob Chalk; Wei-Hong Li 001; Hideo Saito 001; Dima Damen (CoRR, 2025)