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.
Selected Publications
- PR
- ACM MMTalk2Face: A Unified Sequence-based Framework for Diverse Face Generation and Analysis TasksIn Proceedings of the ACM International Conference on Multimedia (ACM MM) , 2022
- TMMTextFace: Text-to-Style Mapping based Face Generation and ManipulationIEEE Transactions on Multimedia (TMM) , 2022
- ECCVRamGAN: Region Attentive Morphing GAN for Region-Level Makeup TransferIn European Conference on Computer Vision (ECCV) , 2022
- TMMLifelong Age Transformation with a Deep Generative PriorIEEE Transactions on Multimedia (TMM) , 2022
- ACM MMSSFlow: Style-guided Neural Spline Flows for Face Image ManipulationIn Proceedings of the ACM International Conference on Multimedia (ACM MM) , 2021
- TIPEnd-to-end single image fog removal using enhanced cycle consistent adversarial networksIEEE Transactions on Image Processing (TIP) , 2020
- IVCClass-aware domain adaptation for improving adversarial robustnessImage and Vision Computing (IVC) , 2020
- CVPREnd-to-end illuminant estimation based on deep metric learningIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2020
- MICCAIDual adaptive pyramid network for cross-stain histopathology image segmentationIn International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , 2019
- NeurocomputingImproving variational autoencoder with deep feature consistent and generative adversarial trainingNeurocomputing (Neurocomputing) , 2019
- CVPRWLearning deep image priors for blind image denoisingIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) , 2019