D$^4$-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On

Zhaotong Yang, Zicheng Jiang, Xinzhe Li, Huiyu Zhou, Junyu Dong, Huaidong Zhang, and Yong Du*

European Conference on Computer Vision (ECCV), 2024

[PDF] [arxiv] [Supp] [Code]

D3still: Decoupled Differential Distillation for Asymmetric Image Retrieval

Yi Xie, Yihong Lin, Wenjie Cai, Xuemiao Xu, Huaidong Zhang, Yong Du, and Shengfeng He

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

[PDF] [Code]

Enhancing Generalized Zero-shot Learning with Dynamic Selective Knowledge Distillation

Weihua Lv, Yulong Zheng, Chao Liu, and Yong Du*

International Conference on Wireless Artificial Intelligent Computing Systems and Applications (WASA), 2024

[PDF]

Curricular Contrastive Regularization for Physics-aware Single Image Dehazing

Yu Zheng, Jiahui Zhan, Shengfeng He, Junyu Dong, and Yong Du*

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

[PDF] [Supp] [Code]

DSDNet: Toward Single Image Deraining with Self-paced Curricular Dual Stimulations

Yong Du, Junjie Deng, Yulong Zheng, Junyu Dong, and Shengfeng He

Computer Vision and Image Understanding (CVIU), 2023

[PDF]

Editing Out-of-domain GAN Inversion via Differential Activations

Haorui Song^#, Yong Du^#, Tianyi Xiang, Junyu Dong, Jing Qin, and Shengfeng He

European Conference on Computer Vision (ECCV), 2022

[PDF] [Video Demo] [Code]

Pro-PULSE: Learning Progressive Encoders of Latent Semantics in GANs for Photo Upsampling

Yang Zhou, Yangyang Xu, Yong Du, Qiang Wen, and Shengfeng He

IEEE Transactions on Image Processing (TIP), 2022

[PDF] [Code]

Delving Deep into Pixelized Face Recovery and Defense

Zhixuan Zhong, Yong Du, Yang Zhou, Jiangzhong Cao, and Shengfeng He

Neurocomputing, 2022

[PDF]

From Continuity to Editability: Inverting GANs with Consecutive Images

Yangyang Xu, Yong Du, Wenpeng Xiao, Xuemiao Xu, and Shengfeng He

IEEE International Conference on Computer Vision (ICCV), 2021

[PDF] [Supp] [Code]

Learning from the Master: Distilling Cross-modal Advanced Knowledge for Lip Reading

Sucheng Ren^#, Yong Du^#, Jianming Lv, Guoqiang Han, and Shengfeng He

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

[PDF]

Invertible Grayscale with Sparsity Enforcing Priors

Yong Du, Yangyang Xu, Taizhong Ye, Qiang Wen, Chufeng Xiao, Junyu Dong, Guoqiang Han, and Shengfeng He

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2021

[PDF]

Mask-ShadowNet: Toward Shadow Removal via Masked Adaptive Instance Normalization

Shengfeng He, Bing Peng, Junyu Dong, and Yong Du*

IEEE Signal Processing Letters (SPL), 2021

[PDF]

Fast Scene Labeling via Structural Inference

Huaidong Zhang, Chu Han, Xiaodan Zhang, Yong Du, Xuemiao Xu, Guoqiang Han, Jing Qin, and Shengfeng He

Neurocomputing, 2021

[PDF]

TPRDTVN: A Routing Algorithm in Delay Tolerant Vessel Network based on Long-term Trajectory Prediction

Chao Liu, Yingbin Li, Ruobing Jiang, Yong Du*, Qian Lu, and Zhongwen Guo

Wireless Communications and Mobile Computing (WCMC), 2021

[PDF]

Blind Image Denoising via Dynamic Dual Learning

Yong Du, Guoqiang Han, Yinjie Tan, Chufeng Xiao, and Shengfeng He

IEEE Transactions on Multimedia (TMM), 2020

[PDF]

Real-time Hierarchical Supervoxel Segmentation via a Minimum Spanning Tree

Bo Wang, Yiliang Chen, Wenxi Liu, Jing Qin, Yong Du, Guoqiang Han, and Shengfeng He

IEEE Transactions on Image Processing (TIP), 2020

[PDF]

Invertible Grayscale via Dual Features Ensemble

Taizhong Ye^#, Yong Du^#, Junjie Deng, and Shengfeng He

IEEE Access, 2020

[PDF]

Exploiting Global Low-rank Structure and Local Sparsity Nature for Tensor Completion

Yong Du, Guoqiang Han, Yuhui Quan, Zhiwen Yu, Hau-San Wong, C.L.Philip Chen, and Jun Zhang

IEEE Transactions on Cybernetics (TCYB), 2019

[PDF] [code]