Facial Authentication System Based on Real-Time 3D Facial Imaging By Using Correlation Image Sensor. - Shu Zhan; Toru Kurihara; Shigeru Ando (ISDA (2), 2006)

Facial Orientation and Eye-Gaze Detection Based on Real-Time 3D Facial Imaging By Using Correlation Image Sensor. - Shu Zhan; Toru Kurihara; Shigeru Ando (ISDA (2), 2006)

Distribution-Based Active Contour Model for Medical Image Segmentation. - Yanrong Guo; Jianguo Jiang; Shijie Hao; Shu Zhan (ICIG, 2011)

Intervertebral Disc Shape Analysis with Geodesic Metric in Shape Space. - Shijie Hao; Jianguo Jiang; Yanrong Guo; Shu Zhan (ICIG, 2011)

ε-Isometryε-Isometry based shape approximation for image content representation. - Shijie Hao; Jianguo Jiang; Yanrong Guo; Shu Zhan (Signal Process., 2013)

3D Face Recognition by Collaborative Representation Based on Face Feature. - Huaijuan Zang; Shu Zhan; Mingjun Zhang; Jingjing Zhao; Zhicheng Liang (CCBR, 2014)

Robust Face Detection Based on Enhanced Local Sensitive Support Vector Machine. - Xiaohong Li 002; Qinqin Tao; Jingjing Zhao; Yiming Mao 001; Shu Zhan (CCBR, 2015)

Heterogeneous Face Recognition Based on Super Resolution Reconstruction by Adaptive Multi-dictionary Learning. - Jingjing Zhao; Yiming Mao 001; Qi Fang; Zhicheng Liang; Fumeng Yang; Shu Zhan (CCBR, 2015)

Minimum mutual information based level set clustering algorithm for fast MRI tissue segmentation. - Shuanglu Dai; Hong Man; Shu Zhan (EMBC, 2015)

Adaptive Active Contour Model: a Localized Mutual Information Approach for Medical Image Segmentation. - Shuanglu Dai; Shu Zhan; Ning Song (KSII Trans. Internet Inf. Syst., 2015)

A Bregman divergence based Level Set Evolution for efficient medical image segmentation. - Shuanglu Dai; Hong Man; Shu Zhan (ICPR, 2016)

Super-resolution of medical image using representation learning. - Xiong Yang 002; Shu Zhan; Changsheng Hu; Zhicheng Liang; Dongdong Xie 001 (WCSP, 2016)

Robust face detection using local CNN and SVM based on kernel combination. - Qinqin Tao; Shu Zhan; Xiao-Hong Li 002; Toru Kurihara (Neurocomputing, 2016)

Face detection using representation learning. - Shu Zhan; Qinqin Tao; Xiao-Hong Li 002 (Neurocomputing, 2016)

MR image bias field harmonic approximation with histogram statistical analysis. - Shu Zhan; Xiong Yang 002 (Pattern Recognit. Lett., 2016)

Hierarchical prostate MRI segmentation via level set clustering with shape prior. - Xiong Yang 002; Shu Zhan; Dongdong Xie 001; Hong Zhao; Toru Kurihara (Neurocomputing, 2017)

Real-time 3D face modeling based on 3D face imaging. - Shu Zhan; Lele Chang; Jingjing Zhao; Toru Kurihara; Hao Du; Yucheng Tang; Jun Cheng (Neurocomputing, 2017)

Segmentation method for medical image based on improved GrabCut. - Yu-Wei Lu; Jianguo Jiang; Meibin Qi; Shu Zhan; Jie Yang (Int. J. Imaging Syst. Technol., 2017)

Automatic Prostate Segmentation on MR Images with Deeply Supervised Network. - Dong Ji; Jun Yu 007; Toru Kurihara; Liangfeng Xu; Shu Zhan (CoDIT, 2018)

Micro-expression Analysis by Fusing Deep Convolutional Neural Network and Optical Flow. - Qiuyu Li; Jun Yu 007; Toru Kurihara; Shu Zhan (CoDIT, 2018)

Automatic Prostate Segmentation on MR Images Using Enhanced Holistically-Nested Networks. - Dong Ji; Jinzhao Qian; Jun Yu 007; Toru Kurihara; Shu Zhan (ICPR, 2018)

Research of Secret Sharing Digital Watermarking Scheme Based on Spread Spectrum Algorithm and PCA. - Xiaohong Li 002; Dawei Niu; Shu Zhan; Wubiao Chen (PCM (3), 2018)

Face image retrieval: super-resolution based on sketch-photo transformation. - Shu Zhan; Jingjing Zhao; Yucheng Tang; Zhenzhu Xie (Soft Comput., 2018)

Shuffle Dense Networks for Biometric Authentication. - Huaijuan Zang; Qiuyu Li; Ailian Chen; Jinlong Chen; Shu Zhan (CSS (1), 2019)

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. - Jianrui Cai; Shuhang Gu; Radu Timofte; Lei Zhang 006; Xiao Liu 022; Yukang Ding; Dongliang He; Chao Li 034; Yi Fu; Shilei Wen; Ruicheng Feng; Jinjin Gu; et al. (CVPR Workshops, 2019)

Encoder-Decoder Residual Network for Real Super-Resolution. - Guoan Cheng; Ai Matsune; Qiuyu Li; Leilei Zhu; Huaijuan Zang; Shu Zhan (CVPR Workshops, 2019)

Frame by Frame Pain Estimation Using Locally Spatial Attention Learning. - Jun Yu 007; Toru Kurihara; Shu Zhan (IbPRIA (2), 2019)

Segmentation of Prostate Peripheral Zone based on Multi-scale Features Enhancement. - Xiaozhi Ma; Dongdong Xie 001; Jing Fang; Shu Zhan (ISICDM, 2019)

Stacked U-shape networks with channel-wise attention for image super-resolution. - Leilei Zhu; Shu Zhan; Haiyan Zhang (Neurocomputing, 2019)

An efficient 3D face recognition approach using Frenet feature of iso-geodesic curves. - Biao Shi; Huaijuan Zang; Rongsheng Zheng; Shu Zhan (J. Vis. Commun. Image Represent., 2019)

Facial micro-expression recognition based on the fusion of deep learning and enhanced optical flow. - Qiuyu Li; Shu Zhan; Liangfeng Xu; Congzhong Wu (Multim. Tools Appl., 2019)

Deep Convolutional Neural Network with Optical Flow for Facial Micro-Expression Recognition. - Qiuyu Li; Jun Yu 001; Toru Kurihara; Haiyan Zhang; Shu Zhan (J. Circuits Syst. Comput., 2020)

Content-Based Attention Network for Person Image Generation. - Xiongfei Liu; Bengao Li; Xin Chen; Haiyan Zhang; Shu Zhan (J. Circuits Syst. Comput., 2020)

Cascaded Dense-UNet for Image Super-Resolution. - Huaijuan Zang; Leilei Zhu; Zhenglong Ding; Xinke Li; Shu Zhan (J. Circuits Syst. Comput., 2020)

Conditional Generative Adversarial Networks with Multi-scale Discriminators for Prostate MRI Segmentation. - Jun He; Xinke Li; Ninghui Liu; Shu Zhan (Neural Process. Lett., 2020)

Optical Filter Net: A Spectral-Aware RGB Camera Framework for Effective Green Pepper Segmentation. - Jun Yu 007; Toru Kurihara; Shu Zhan (IEEE Access, 2021)

Learning an optical filter for green pepper automatic picking in agriculture. - Xinzhi Liu; Jun Yu 007; Toru Kurihara; Ke Li; Zhao Niu; Shu Zhan (Comput. Electron. Agric., 2021)

Encoding-decoding Network With Pyramid Self-attention Module For Retinal Vessel Segmentation. - Congzhong Wu; Jun Sun; Jing Wang; Liang-Feng Xu; Shu Zhan (Int. J. Autom. Comput., 2021)

PCCM-GAN: Photographic Text-to-Image Generation with Pyramid Contrastive Consistency Model. - Zhongjian Qi; Jun Sun; Jinzhao Qian; Jiajia Xu; Shu Zhan (Neurocomputing, 2021)

EDPANs: Enhanced Dual Path Attention Networks for Single Image Super-Resolution. - Guoan Cheng; Ai Matsune; Huaijuan Zang; Toru Kurihara; Shu Zhan (J. Circuits Syst. Comput., 2021)

FAE-GAN: facial attribute editing with multi-scale attention normalization. - Jiaqi Zhu; Pengxiang Ouyang; Ran Tao; Xin Chen; Jing Wang; Shu Zhan (Mach. Vis. Appl., 2021)

MRP-GAN: Multi-resolution parallel generative adversarial networks for text-to-image synthesis. - Zhongjian Qi; Chaogang Fan; Liangfeng Xu; Xinke Li; Shu Zhan (Pattern Recognit. Lett., 2021)

Color-Ratio Maps Enhanced Optical Filter Design and Its Application in Green Pepper Segmentation. - Jun Yu 007; Toru Kurihara; Shu Zhan (Sensors, 2021)

Uncertainty Estimation for Efficient Monocular Depth Perception. - Hao Du; Guoan Cheng; Ai Matsune; Qiang Zhu; Shu Zhan (CACML, 2022)

Artistic Text Effect Transfer with Conditonal Generative Adversarial Network. - Qirui Huang; Qiang Zhu; Shu Zhan (CACML, 2022)

Learning 3D Face Representation with Vision Transformer for Masked Face Recognition. - Yuan Wang; Zhen Yang; Zhiqiang Zhang; Huaijuan Zang; Qiang Zhu; Shu Zhan (CACML, 2022)

A Synergic Neural Network For Medical Image Classification Based On Attention Mechanism. - Shanshan Wang; Tao Zhang; Fei Li; Zhenping Ruan; Zhen Yang; Shu Zhan; Zhiqiang Zhang (CACML, 2022)

Masked Face Recognition with 3D Facial Geometric Attributes. - Yuan Wang; Zhen Yang; Zhiqiang Zhang; Huaijuan Zang; Qiang Zhu; Shu Zhan (IPMV, 2022)

Local Enhancement and Bidirectional Feature Refinement Network for Single-Shot Detector. - Pengxiang Ouyang; Jiaqi Zhu; Chaogang Fan; Zhao Niu; Shu Zhan (Cogn. Comput., 2022)

Automatic Search Dense Connection Module for Super-Resolution. - Huaijuan Zang; Guoan Cheng; Zhipeng Duan; Ying Zhao; Shu Zhan (Entropy, 2022)

Attention Network with Information Distillation for Super-Resolution. - Huaijuan Zang; Ying Zhao; Chao Niu; Haiyan Zhang; Shu Zhan (Entropy, 2022)

Joint model of entity recognition and relation extraction based on artificial neural network. - Zhu Zhang; Shu Zhan; Haiyan Zhang; Xinke Li (J. Ambient Intell. Humaniz. Comput., 2022)

Tree-Like Branching Network for Single Image Super-Resolution with Divide-and-Conquer. - Ying Zhao; Zeliang Zhao; Kun Shao; Shu Zhan (J. Circuits Syst. Comput., 2022)

Involution-based network with contrastive learning for efficient image super-resolution. - Guoan Cheng; Ai Matsune; Hao Du; Huaijuan Zang; Liangfeng Xu; Shu Zhan (J. Electronic Imaging, 2022)

Exploring more diverse network architectures for single image super-resolution. - Guoan Cheng; Ai Matsune; Hao Du; Xinzhi Liu; Shu Zhan (Knowl. Based Syst., 2022)

An Improved U-Net for Human Sperm Head Segmentation. - Qixian Lv; Xinrong Yuan; Jinzhao Qian; Xinke Li; Haiyan Zhang; Shu Zhan (Neural Process. Lett., 2022)

A Measurement System for the Tightness of Sealed Vessels Based on Machine Vision Using Deep Learning Algorithm. - Zhenglong Ding; Wan Song; Shu Zhan (IEEE Trans. Instrum. Meas., 2022)

Unsupervised Concept Drift Detection Based on Stacked Autoencoder and Page-Hinckley Test. - Shu Zhan; Yang Li 122; Chunyan Liu; Yunlong Zhao 001 (GPC (1), 2023)

Efficiently Amalgamated CNN-Transformer Network for Image Super-Resolution Reconstruction. - Mengyuan Zheng; Huaijuan Zang; Xinzhi Liu; Guoan Cheng; Shu Zhan (PRCV (11), 2023)

Image denoising via deep network based on edge enhancement. - Xi Chen; Shu Zhan; Dong Ji; Liangfeng Xu; Congzhong Wu; Xiaohong Li 002 (J. Ambient Intell. Humaniz. Comput., 2023)

Simulations of Bubble Formation and Oscillation Behavior in Micro-Leakage Measurement System. - Zhenglong Ding; Zongjun Yin; Wan Song; Wenjuan Cheng; Jiajia Xu; Shu Zhan (IEEE Trans. Instrum. Meas., 2023)

Wide-Angular Tolerance Optical Filter Design and Its Application to Green Pepper Segmentation. - Jun Yu 007; Shu Zhan; Toru Kurihara (Sensors, 2023)

Removal of Redundant Information via Discrete Representation for Monocular Depth Estimation. - Hao Du; Xinzhi Liu; Guoan Cheng; Ai Matsune; Liangfeng Xu; Shu Zhan (J. Circuits Syst. Comput., 2023)

Iterative Fusion and Dual Enhancement for Accurate and Efficient Object Detection. - Zhipeng Duan; Zhiqiang Zhang; Xinzhi Liu; Guoan Cheng; Liangfeng Xu; Shu Zhan (J. Circuits Syst. Comput., 2023)

A New Model Based on Graph Neural Network Feedback for Crystal Property Prediction. - Jian Zhu; Yongshen Ren; Huaijuan Zang; Shu Zhan (ICBASE, 2024)

A complex neural network model by Hilbert Transform. - Xinzhi Liu; Jun Yu 001; Toru Kurihara; Congzhong Wu; Haiyan Zhang; Shu Zhan (Pattern Recognit. Lett., 2024)

Spectrum Attention Mechanism for a Complex Neural Network. - Xinzhi Liu; Jun Yu 007; Toru Kurihara; Congzhong Wu; Shu Zhan (IEEE Signal Process. Lett., 2024)