都勇 - 中国海洋大学 - 信息科学与工程学部

个人简介

其他情况简介：先后主持了国家自然科学基金（面上项目、青年项目）、中国博士后科学基金（特别资助、面上资助）、山东省自然科学基金等多项国家级、省部级课题。在IEEE TPAMI、IJCV、IEEE TIP、CVPR、ICCV、ECCV、AAAI、ACM MM等国际主流会议和期刊上发表论文30余篇。获山东省人工智能科学技术奖、ACM青岛新星奖。视觉理解与生成（VUG@OUC）课题组负责人。课题组致力于 2D/3D视觉内容生成、多模态视觉理解、图像与视频增强及复原等计算机视觉与人工智能前沿方向的研究。组内学术氛围浓厚，倡导自驱科研，实行弹性工作制，为学生提供深入研究的空间。零基础学生可获得一对一全程指导，从idea形成、实验设计到论文写作，逐步培养科研能力。有经验学生以方向引导和把关为主，鼓励自由探索。课题组每年稳定在 CVPR、ICCV、ECCV 等计算机视觉顶级会议产出研究成果，并在人工智能领域 Top 1学术刊物IEEE TPAMI 发表论文（系计算机学院首次）。迄今为止， 80%以上的毕业生已在 CCF A类会议或期刊上以第一作者身份发表论文，并顺利进入国内顶尖高校及业界领先企业深造或工作。课题组与新加坡管理大学、哈尔滨工业大学（深圳）、上海交通大学、南京理工大学等国内外知名高校保持紧密合作，优秀学生可获得联合指导机会，并有机会前往合作院校进一步深造，拓宽国际学术视野。

研究领域

计算机视觉人工智能内容生成图像处理深度学习 2D/3D视觉内容生成多模态视觉理解图像与视频增强及复原

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1. Z. Yang, Y. Li, S. He, X. Li, Y. Xu, J. Dong, Y. Du* . OmniVTON: Training-Free Universal Virtual Try-On. International Conference on Computer Vision ( ICCV ) ， 2025. [CCF-A] 2. Y. Xu, B. Liu, W. Shao, Y. Du* , S. He, T. Zhu. Cross-Subject Mind Decoding from Inaccurate Representations. International Conference on Computer Vision ( ICCV ) ， 2025. [CCF-A] 3. H. Zhu, Y. Xu, C. Xu, T. Shen, W. Liu, Y. Du , J. Yu, S. He. Stable Score Distillation. International Conference on Computer Vision ( ICCV ) ， 2025. [CCF-A] 4. Y. Zheng, Z. Jiang, S. He, Y. Sun, J. Dong, H. Zhang, Y. Du* . NexusGS: Sparse View Synthesis with Epipolar Depth Priors in 3D Gaussian Splatting. IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ) ， 2025. [CCF-A] [Highlight, Top 2.98%] 5. X. Li, J. Zhan, S. He, Y. Xu, J. Dong, H. Zhang, Y. Du* . PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium. AAAI Conference on Artificial Intelligence ( AAAI ) ， 2025. [CCF-A] 6. X. Yang, S. He, W. Shao, Y. Du , K. Wong, Y. Qiao, J. Yu, P. Luo. DiffusionMat: Alpha Matting as Deterministic Sequential Refinement Learning. ACM International Conference on Multimedia ( ACM MM ) ， 2025. [CCF-A] 7. Z. Yang, Z. Jiang, X. Li, H. Zhou, J. Dong, H. Zhang, Y. Du* . D4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On. European Conference on Computer Vision ( ECCV ) ， 2024. [清华-A] 8. Y. Xie, Y. Lin, W. Cai, X. Xu, H. Zhang, Y. Du , S. He. D3still: Decoupled Differential Distillation for Asymmetric Image Retrieval. IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ) ， 2024. [CCF-A] 9. Y. Zheng, J. Zhan, S. He, J. Dong, Y. Du* . Curricular Contrastive Regularization for Physics-aware Single Image Dehazing. IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ) ， 2023. [CCF-A] 10. H. Song^, Y. Du^ , T. Xiang, J. Dong, J. Qin, S. He. Editing Out-of-domain GAN Inversion via Differential Activations. European Conference on Computer Vision ( ECCV ) ， 2022. [清华-A] 11. Y. Xu, Y. Du , W. Xiao, X. Xu, S. He. From Continuity to Editability: Inverting GANs with Consecutive Images. IEEE International Conference on Computer Vision ( ICCV ) ， 2021. [CCF-A] 12. S. Ren^, Y. Du^ , J. Lv, G. Han, S. He. Learning from the Master: Distilling Cross-modal Advanced Knowledge for Lip Reading. IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ) ， 2021. [CCF-A] 13. Y. Du^ , J. Zhan^, X. Li, J. Dong, S. Chen, M. Yang, S. He. One-for-All: Towards Universal Domain Translation with a Single StyleGAN. IEEE Transactions on Pattern Analysis and Machine Intelligence ( TPAMI ) ， 2025. [IF: 20.8] [CCF-A] [学院首篇] 14. Y. Xu, W. Shao, Y. Du , H. Zhu, Y. Zhou, J. Xie, P. Luo, S. He. Invert Your Prompt: Editing-Aware Diffusion Inversion. International Journal of Computer Vision ( IJCV ) ， 2025. [CCF-A] 15. Y. Dai, T. Xiang, B. Deng, Y. Du , H. Cai, J. Qin, S. He. StyleGAN-∞: Extending StyleGAN to Arbitrary-Ratio Translation with StyleBook. IEEE Transactions on Visualization and Computer Graphics ( TVCG ) ， 2025. [CCF-A] 16. J. Kang, H. Yang, Y. Cai, H. Zhang, X. Xu, Y. Du , S. He. SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image Generation. IEEE Transactions on Information Forensics and Security ( TIFS ) ， 2025. [CCF-A] 17. Y. Du , J. Deng, Y. Zheng, J. Dong, S. He. DSDNet: Toward Single Image Deraining with Self-paced Curricular Dual Stimulations. Computer Vision and Image Understanding ( CVIU ) ， 2023. [CCF-B] 18. Y. Zhou, Y. Xu, Y. Du , Q. Wen, X. Xu, S. He. Pro-PULSE: Learning Progressive Encoders of Latent Semantics in GANs for Photo Upsampling. IEEE Transactions on Image Processing ( TIP ) ， 2022. [CCF-A] 19. Y. Du , Y. Xu, T. Ye, Q. Wen, C. Xiao, J. Dong, G. Han, S. He. Invertible Grayscale with Sparsity Enforcing Priors. ACM Transactions on Multimedia Computing, Communications, and Applications ( TOMM ) ， 2021. [CCF-B] 20. Y. Du , G. Han, Y. Tan, C. Xiao, S. He. Blind Image Denoising via Dynamic Dual Learning. IEEE Transactions on Multimedia ( TMM ) ， 2020. [清华-A] 21. B. Wang, Y. Chen, W. Liu, J. Qin, Y. Du , G. Han, S. He. Real-time Hierarchical Supervoxel Segmentation via a Minimum Spanning Tree. IEEE Transactions on Image Processing ( TIP ) ， 2020. [CCF-A] 22. Y. Du , G. Han, Y. Quan, Z. Yu, H. Wong, C.L. Chen, J. Zhang. Exploiting Global Low-rank Structure and Local Sparsity Nature for Tensor Completion. IEEE Transactions on Cybernetics ( TCYB ) ， 2019. [IF: 19.118] [CCF-B]

学术兼职

IEEE Senior Member CCF高级会员山东省人工智能学会理事