Object Specific Deep Learning Feature and Its Application to Face Detection. - Xianxu Hou; Ke Sun 006; Linlin Shen; Guoping Qiu (CoRR, 2016)

Automatic Visual Theme Discovery from Joint Image and Text Corpora. - Ke Sun 006; Xianxu Hou; Qian Zhang 018; Guoping Qiu (CoRR, 2016)

Deep Feature Similarity for Generative Adversarial Networks. - Xianxu Hou; Ke Sun 006; Guoping Qiu (ACPR, 2017)

Learning deep semantic attributes for user video summarization. - Ke Sun 006; Jiasong Zhu; Zhuo Lei; Xianxu Hou; Qian Zhang 018; Jiang Duan; Guoping Qiu (ICME, 2017)

Object specific deep feature and its application to face detection. - Xianxu Hou; Jiasong Zhu; Ke Sun 006; LinLin Shen; Guoping Qiu (MVA, 2017)

Deep Feature Consistent Variational Autoencoder. - Xianxu Hou; LinLin Shen; Ke Sun 006; Guoping Qiu (WACV, 2017)

Deep Feature Consistent Deep Image Transformations: Downscaling, Decolorization and HDR Tone Mapping. - Xianxu Hou; Jiang Duan; Guoping Qiu (CoRR, 2017)

Image Companding and Inverse Halftoning using Deep Convolutional Neural Networks. - Xianxu Hou; Guoping Qiu (CoRR, 2017)

Behavior Recognition of Moving Objects Using Deep Neural Networks. - Jiasong Zhu; Weidong Lin 002; Ke Sun 006; Xianxu Hou; Bozhi Liu; Guoping Qiu (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Sub-window Box Filter. - Yuanhao Gong; Bozhi Liu; Xianxu Hou; Guoping Qiu (VCIP, 2018)

Direct Application of Convolutional Neural Network Features to Image Quality Assessment. - Xianxu Hou; Ke Sun 006; Bozhi Liu; Yuanhao Gong; Jonathan M. Garibaldi; Guoping Qiu (VCIP, 2018)

Image Filtering With Generic Geometric Prior. - Yuanhao Gong; Xianxu Hou; Fei Li; Guoping Qiu (IEEE Access, 2018)

Learning Based Image Transformation Using Convolutional Neural Networks. - Xianxu Hou; Yuanhao Gong; Bozhi Liu; Ke Sun 006; Jingxin Liu; Bolei Xu; Jiang Duan; Guoping Qiu (IEEE Access, 2018)

Object Specific Deep Feature for Face Detection. - Xianxu Hou; Jiasong Zhu; Ke Sun 006; Linlin Shen; Guoping Qiu (IEICE Trans. Inf. Syst., 2018)

Bidirectional Long Short-Term Memory Network for Vehicle Behavior Recognition. - Jiasong Zhu; Ke Sun 006; Sen Jia 001; Weidong Lin 002; Xianxu Hou; Bozhi Liu; Guoping Qiu (Remote. Sens., 2018)

Urban Traffic Density Estimation Based on Ultrahigh-Resolution UAV Video and Deep Neural Network. - Jiasong Zhu; Ke Sun 006; Sen Jia 001; Qingquan Li; Xianxu Hou; Weidong Lin 002; Bozhi Liu; Guoping Qiu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

An investigation of deep learning for image processing applications - Xianxu Hou (2018)

Learning Deep Image Priors for Blind Image Denoising. - Xianxu Hou; Hongming Luo; Jingxin Liu; Bolei Xu; Ke Sun 006; Yuanhao Gong; Bozhi Liu; Guoping Qiu (CVPR Workshops, 2019)

Bladder Cancer Multi-Class Segmentation in MRI With Pyramid-In-Pyramid Network. - Jingxin Liu; Libo Liu; Bolei Xu; Xianxu Hou; Bozhi Liu; Xin Chen 003; Linlin Shen; Guoping Qiu (ISBI, 2019)

Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification. - Bolei Xu; Jingxin Liu; Xianxu Hou; Bozhi Liu; Jon Garibaldi; Ian O. Ellis; Andy Green 001; Linlin Shen; Guoping Qiu (ISBI, 2019)

Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation. - Xianxu Hou; Jingxin Liu; Bolei Xu; Bozhi Liu; Xin Chen 003; Mohammad Ilyas; Ian O. Ellis; Jon Garibaldi; Guoping Qiu (MICCAI (2), 2019)

Character Prediction in TV Series via a Semantic Projection Network. - Ke Sun 006; Zhuo Lei; Jiasong Zhu; Xianxu Hou; Bozhi Liu; Guoping Qiu (MMM (1), 2019)

Cross Domain Person Re-Identification With Large Scale Attribute Annotated Datasets. - Bolei Xu; Jingxin Liu; Xianxu Hou; Ke Sun 006; Guoping Qiu (IEEE Access, 2019)

Improving variational autoencoder with deep feature consistent and generative adversarial training. - Xianxu Hou; Ke Sun 006; Linlin Shen; Guoping Qiu (Neurocomputing, 2019)

Deep reinforcement learning-based patch selection for illuminant estimation. - Bolei Xu; Jingxin Liu; Xianxu Hou; Bozhi Liu; Guoping Qiu (Image Vis. Comput., 2019)

End-to-End Illuminant Estimation Based on Deep Metric Learning. - Bolei Xu; Jingxin Liu; Xianxu Hou; Bozhi Liu; Guoping Qiu (CVPR, 2020)

VHS to HDTV Video Translation Using Multi-task Adversarial Learning. - Hongming Luo; Guangsen Liao; Xianxu Hou; Bozhi Liu; Fei Zhou 001; Guoping Qiu (MMM (1), 2020)

GuidedStyle: Attribute Knowledge Guided Style Manipulation for Semantic Face Editing. - Xianxu Hou; Xiaokang Zhang; Linlin Shen; Zhihui Lai 001; Jun Wan 005 (CoRR, 2020)

Class-aware domain adaptation for improving adversarial robustness. - Xianxu Hou; Jingxin Liu; Bolei Xu; Xiaolong Wang; Bozhi Liu; Guoping Qiu (Image Vis. Comput., 2020)

End-to-End Single Image Fog Removal Using Enhanced Cycle Consistent Adversarial Networks. - Wei Liu 123; Xianxu Hou; Jiang Duan; Guoping Qiu (IEEE Trans. Image Process., 2020)

Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification. - Bolei Xu; Jingxin Liu; Xianxu Hou; Bozhi Liu; Jon Garibaldi; Ian O. Ellis; Andy Green 001; Linlin Shen; Guoping Qiu (IEEE Trans. Medical Imaging, 2020)

GazeFlow: Gaze Redirection with Normalizing Flows. - Yong Wu; Hanbang Liang; Xianxu Hou; Linlin Shen (IJCNN, 2021)

SSFlow: Style-guided Neural Spline Flows for Face Image Manipulation. - Hanbang Liang; Xianxu Hou; Linlin Shen (ACM Multimedia, 2021)

Manifold-preserved GANs. - Haozhe Liu; Hanbang Liang; Xianxu Hou; Haoqian Wu; Feng Liu 013; Linlin Shen (CoRR, 2021)

Robust facial landmark detection by cross-order cross-semantic deep network. - Jun Wan 005; Zhihui Lai 001; Linlin Shen; Jie Zhou 009; Can Gao; Gang Xiao; Xianxu Hou (Neural Networks, 2021)

CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation. - Jinheng Xie; Xianxu Hou; Kai Ye 004; Linlin Shen (CVPR, 2022)

C2 AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation. - Jinheng Xie; Jianfeng Xiang; Junliang Chen 002; Xianxu Hou; Xiaodong Zhao; Linlin Shen (CVPR, 2022)

RamGAN: Region Attentive Morphing GAN for Region-Level Makeup Transfer. - Jianfeng Xiang; Junliang Chen 002; Wenshuang Liu; Xianxu Hou; Linlin Shen (ECCV (22), 2022)

Talk2Face: A Unified Sequence-based Framework for Diverse Face Generation and Analysis Tasks. - Yudong Li 001; Xianxu Hou; Zhe Zhao 006; Linlin Shen; Xuefeng Yang; Kimmo Yan (ACM Multimedia, 2022)

FEAT: Face Editing with Attention. - Xianxu Hou; Linlin Shen; Or Patashnik; Daniel Cohen-Or; Hui Huang 004 (CoRR, 2022)

Cross Language Image Matching for Weakly Supervised Semantic Segmentation. - Jinheng Xie; Xianxu Hou; Kai Ye 004; Linlin Shen (CoRR, 2022)

Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation. - Jinheng Xie; Jianfeng Xiang; Junliang Chen 002; Xianxu Hou; Xiaodong Zhao; Linlin Shen (CoRR, 2022)

DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation. - Feilong Tang; Qiming Huang; Jinfeng Wang 008; Xianxu Hou; Jionglong Su; Jingxin Liu (CoRR, 2022)

GuidedStyle: Attribute knowledge guided style manipulation for semantic face editing. - Xianxu Hou; Xiaokang Zhang; Hanbang Liang; Linlin Shen; Zhihui Lai 001; Jun Wan 005 (Neural Networks, 2022)

StyleGene: Crossover and Mutation of Region-level Facial Genes for Kinship Face Synthesis. - Hao Li; Xianxu Hou; Zepeng Huang; Linlin Shen (CVPR, 2023)

StyleAU: StyleGAN based Facial Action Unit Manipulation for Expression Editing. - Yanliang Guo; Xianxu Hou; Feng Liu 013; Linlin Shen; Lei Wang 018; Zhen Wang 009; Peng Liu 039 (IJCB, 2023)

Domain Adaptation of Digital Pathology Images using Joint Stain Color and Image Quality Constraints. - Xi Long; Jingxin Liu; Xianxu Hou (ICIP, 2023)

MaskDiffuse: Text-Guided Face Mask Removal Based on Diffusion Models. - Jingxia Lu; Xianxu Hou; Hao Li; Zhibin Peng; Linlin Shen; Lixin Fan (PRCV (6), 2023)

DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation. - Feilong Tang; Zhongxing Xu; Qiming Huang; Jinfeng Wang 008; Xianxu Hou; Jionglong Su; Jingxin Liu (PRCV (5), 2023)

Learning Adapters for Text-Guided Portrait Stylization with Pretrained Diffusion Models. - Mintu Yang; Xianxu Hou; Hao Li; Linlin Shen; Lixin Fan (PRCV (1), 2023)

TextFace: Text-to-Style Mapping Based Face Generation and Manipulation. - Xianxu Hou; Xiaokang Zhang; Yudong Li 001; Linlin Shen (IEEE Trans. Multim., 2023)

Lifelong Age Transformation With a Deep Generative Prior. - Xianxu Hou; Xiaokang Zhang; Hanbang Liang; Linlin Shen; Zhong Ming 001 (IEEE Trans. Multim., 2023)

Deep generative image priors for semantic face manipulation. - Xianxu Hou; Linlin Shen; Zhong Ming 001; Guoping Qiu (Pattern Recognit., 2023)

Pseudo Training Data Generation for Unsupervised Cell Membrane Segmentation in Immunohistochemistry Images. - Xi Long; Tianyang Wang; Yanjia Kan; Yunze Wang; Silin Chen; Albert Zhou; Xianxu Hou; Jingxin Liu (BIBM, 2024)

Dynamic Data Sampler for Cross-Language Transfer Learning in Large Language Models. - Yudong Li 001; Yuhao Feng; Wen Zhou; Zhe Zhao 006; Linlin Shen; Cheng Hou; Xianxu Hou (ICASSP, 2024)

A Dataset and Model for Realistic License Plate Deblurring. - Haoyan Gong; Yuzheng Feng; Zhenrong Zhang; Xianxu Hou; Jingxin Liu; Siqi Huang; Hongbin Liu (IJCAI, 2024)

FLIP-80M: 80 Million Visual-Linguistic Pairs for Facial Language-Image Pre-Training. - Yudong Li 001; Xianxu Hou; Dezhi Zheng; Linlin Shen; Zhe Zhao 006 (ACM Multimedia, 2024)

CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement. - Xu Wu; Xianxu Hou; Zhihui Lai 001; Jie Zhou 009; Ya-nan Zhang; Witold Pedrycz; Linlin Shen (CoRR, 2024)

Low-Light Enhancement Effect on Classification and Detection: An Empirical Study. - Xu Wu; Zhihui Lai 001; Jie Zhou 009; Can Gao; Xianxu Hou; Ya-nan Zhang; Linlin Shen (CoRR, 2024)

FaceBench: A Multi-View Multi-Level Facial Attribute VQA Dataset for Benchmarking Face Perception MLLMs. - Xiaoqin Wang; Xusen Ma; Xianxu Hou; Meidan Ding; Yudong Li 001; Junliang Chen 002; Wenting Chen; Xiaoyang Peng; Linlin Shen (CVPR, 2025)

High-Fidelity Editable Portrait Synthesis with 3D GAN Inversion. - Jindong Xie; Jiachen Liu; Yupei Lin; Jinbao Wang; Xianxu Hou; Linlin Shen (ICASSP, 2025)

A codebook-driven approach for low-light image enhancement. - Xu Wu; Xianxu Hou; Zhihui Lai 001; Jie Zhou 009; Ya-nan Zhang; Witold Pedrycz; Linlin Shen (Eng. Appl. Artif. Intell., 2025)

DisFaceRep: Representation Disentanglement for Co-occurring Facial Components in Weakly Supervised Face Parsing. - Xiaoqin Wang; Xianxu Hou; Meidan Ding; Junliang Chen 002; Kaijun Deng; Jinheng Xie; Linlin Shen (CoRR, 2025)

CLIMS++: Cross Language Image Matching with Automatic Context Discovery for Weakly Supervised Semantic Segmentation. - Jinheng Xie; Songhe Deng; Xianxu Hou; Zhaochuan Luo; Linlin Shen; Yawen Huang; Yefeng Zheng 001; Mike Zheng Shou (Int. J. Comput. Vis., 2025)