Xianxu Hou

Assistant Professor
School of AI and Advanced Computing
Xi’an Jiaotong-Liverpool University

I am a deep learning researcher with a focus on generative modeling and its applications in image manipulation. My goal is to create more realistic and controllable generated images through the use of these techniques. I received my Ph.D. from the University of Nottingham in 2018, and my master’s and bachelor’s degrees from China University of Mining and Technology (Beijing) in 2014 and 2011, respectively. I was born in the beautiful city of Enshi, Hubei Province, China.

I am seeking highly motivated PhD students who are passionate about advancing research in generative AI, including areas such as GANs, Diffusion Models, and MLLMs. Successful candidates will earn a PhD degree from the University of Liverpool, UK.

Selected Publications

  1. ACM MM
    FLIP-80M: 80 Million Visual-Linguistic Pairs for Facial Language-Image Pre-Training
    Yudong Li, Xianxu Hou, Zheng Dezhi, Linlin Shen, and Zhe Zhao
    In Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM) , 2024
    PDF Code
  2. CVPR Highlight
    StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face Synthesis
    Hao Li, Xianxu Hou, Zepeng Huang, and Linlin Shen
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Highlight) , 2023
    PDF Code Website
  3. PR
    Deep generative image priors for semantic face manipulation
    Xianxu Hou, Linlin Shen, Zhong Ming, and Guoping Qiu
    Pattern Recognition (PR) , 2023
    PDF
  4. ACM MM
    Talk2Face: A Unified Sequence-based Framework for Diverse Face Generation and Analysis Tasks
    Yudong Li, Xianxu Hou, Zhe Zhao, Linlin Shen, Xuefeng Yang, and Kimmo Yan
    In Proceedings of the ACM International Conference on Multimedia (ACM MM) , 2022
    PDF
  5. TMM
    TextFace: Text-to-Style Mapping based Face Generation and Manipulation
    Xianxu Hou†, Xiaokang Zhang†, Yudong Li, and Linlin Shen
    IEEE Transactions on Multimedia (TMM) , 2022
    PDF
  6. ECCV
    RamGAN: Region Attentive Morphing GAN for Region-Level Makeup Transfer
    Jianfeng Xiang, Junliang Chen, Wenshuang Liu, Xianxu Hou, and Linlin Shen
    In European Conference on Computer Vision (ECCV) , 2022
    PDF
  7. TMM
    Lifelong Age Transformation with a Deep Generative Prior
    Xianxu Hou, Xiaokang Zhang, Hanbang Liang, Linlin Shen, and Zhong Ming
    IEEE Transactions on Multimedia (TMM) , 2022
    PDF
  8. CVPR
    CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation
    Jinheng Xie†, Xianxu Hou†, Kai Ye, and Linlin Shen
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2022
    PDF Code
  9. CVPR
    C2AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation
    Jinheng Xie, Jianfeng Xiang, Junliang Chen, Xianxu Hou, Xiaodong Zhao, and Linlin Shen
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2022
    PDF Code
  10. NN
    GuidedStyle: Attribute knowledge guided style manipulation for semantic face editing
    Xianxu Hou, Xiaokang Zhang, Hanbang Liang, Linlin Shen, Zhihui Lai, and Jun Wan
    Neural Networks (NN) , 2022
    PDF
  11. ACM MM
    SSFlow: Style-guided Neural Spline Flows for Face Image Manipulation
    Hanbang Liang, Xianxu Hou, and Linlin Shen
    In Proceedings of the ACM International Conference on Multimedia (ACM MM) , 2021
    PDF
  12. TIP
    End-to-end single image fog removal using enhanced cycle consistent adversarial networks
    Wei Liu, Xianxu Hou, Jiang Duan, and Guoping Qiu
    IEEE Transactions on Image Processing (TIP) , 2020
    PDF
  13. IVC
    Class-aware domain adaptation for improving adversarial robustness
    Xianxu Hou, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu, and Guoping Qiu
    Image and Vision Computing (IVC) , 2020
    PDF
  14. CVPR
    End-to-end illuminant estimation based on deep metric learning
    Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, and Guoping Qiu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2020
    PDF
  15. MICCAI
    Dual adaptive pyramid network for cross-stain histopathology image segmentation
    Xianxu Hou†, Jingxin Liu†, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian Ellis, Jon Garibaldi, and Guoping Qiu
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , 2019
    PDF
  16. Neurocomputing
    Improving variational autoencoder with deep feature consistent and generative adversarial training
    Xianxu Hou, Ke Sun, Linlin Shen, and Guoping Qiu
    Neurocomputing (Neurocomputing) , 2019
    PDF
  17. CVPRW
    Learning deep image priors for blind image denoising
    Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, and Guoping Qiu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) , 2019
    PDF
  18. WACV
    Deep feature consistent variational autoencoder
    Xianxu Hou, Linlin Shen, Ke Sun, and Guoping Qiu
    In IEEE winter conference on applications of computer vision (WACV) (WACV) , 2017
    PDF Code

Fun projects


Robot Fire Fighting

Utopian Short Film

Dystopian Short Film