Yuru Pei (裴玉茹) received her PHD degree in Computer Science from Peking University in 2006. Now she is an associate professor in Machine Intelligence Department, Peking University.

常年招收本校或外校本科实习生, 欢迎优秀同学报考或申请推免研究生.

Research

Funding

· Open Project of National Engineering Laboratory of Oral Digital Medical Technology and Materials, Intelligent Recognition of Malocclusion, 2019/01-2021/12, PI.

· NSFC, 61876008, 3D Volume Image Registration and Attribute Transfer Using Unsupervised Clustering Forest with Metric Learning, 2019/01-2021/12, PI.

· NSFC, 81371192, Risk Factors of Bone Fenestration, Fracture and Root Resorption in Orthodontic Tooth Movement, 2014/01-2017/12.

· NSFC, 61272342, Attribute Transfer Learning and Its Application in Analysis of Facial Geometry and Behavior Data, 2013/01-2016/12, PI.

Patents

· Cone beam CT image registration and overlapping method, 201610105206. X

· A method of 3D image reconstruction from 2D X-ray image, ZL201610157767.4

· A method of dentition segmentation from cone beam CT image, 201610157705.3

· An automatic parsing method of 3D craniofacial structure of cone beam CT image, 201611185771.8

· Automatic dense voxel-wise correspondence between cone beam CT images, 201611184654. X

· Registration method of cone beam CT image and X-ray image, ZL201710756002.7

· Correspondence establishment and registration of cone beam CT image, 201710755960.2

· Volumetric image feature learning and correspondence of cone beam CT image, 2019109327505

· Registration method of 3D craniofacial cone beam CT image, 2019110297125

Publications (* corresponding author)

· Yungeng Zhang, Yuru Pei*, Yuke Guo, Gengyu Ma, Tianmin Xu, and Hongbin Zha，Fully Convolutional Network for Consistent Voxel-wise Correspondence, the 34th AAAI Conference on Artificial Intelligence (AAAI-20), 2020.

· Diya Sun, Yuru Pei*, Yuke Guo, Guangying Song, Gengyu Ma, Tianmin Xu, and Hongbin Zha, Teeth Segmentation and Labeling from Digital Dental Casts, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020

· Yicheng Zhong, Yuru Pei*, Peixin Li, Yuke Guo, Gengyu Ma, Meng Liu, Wei Bai, WenHai Wu and Hongbin Zha, Depth-Based 3D Face Reconstruction and Pose Estimation Using Shape-Preserving Domain Adaptation, IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM),2020.

· Yungeng Zhang, Yuru Pei*, Yuke Guo, Si Chen, Gengyu Ma, Tianmin Xu, and Hongbin Zha, Volumetric Registration-Based Cleft Volume Estimation of Alveolar Cleft Grafting Procedures, IEEE International Symposium on Biomedical Imaging (ISBI’20), IEEE, 2020

· Peixin Li, Yuru Pei*, Yuke Guo, Si Chen, Gengyu Ma, Tianmin Xu, and Hongbin Zha, Non-Rigid 2d-3d Registration Using Convolutional Autoencoders, IEEE International Symposium on Biomedical Imaging (ISBI’20), IEEE, 2020

· Diya Sun, Yuru Pei*, Yuke Guo, Guangying Song, Gengyu Ma, Tianmin Xu, and Hongbin Zha, Teeth Segmentation and Labeling from Digital Dental Casts, IEEE International Symposium on Biomedical Imaging (ISBI’20), IEEE, 2020

· Yicheng Zhong, Yuru Pei*, Peixin Li, Yuke Guo, Gengyu Ma, Meng Liu, Wei Bai, WenHai Wu4 and Hongbin Zha, Face Denoising and 3D Reconstruction from A Single Depth Image, International Conference on Automatic Face and Gesture Recognition, 2020.

· Peixin Li, Yicheng Zhong, Yuru Pei*, Yuke Guo, Gengyu Ma, Meng Liu, Wei Bai, WenHai Wu and Hongbin Zha, An Unsupervised Approach for 3D Face Reconstruction from A Single Depth Image, Computer Graphics International, 2020.

· Peixin Li, Yuru Pei*, Yuke Guo, Hongbin Zha, 3D Face Reconstruction and Semantic Annotation from Single Depth Image, International Conference on Computer Animation and Social Agents (CASA), 2020.

· Yungeng Zhang, Yuru Pei*, Yuke Guo, Si Chen, Gengyu Ma, Tianmin Xu, and Hongbin Zha, Cleft Volume Estimation and Maxilla Completion Using Cascaded Deep Neural Networks, International Workshop on Machine Learning in Medical Imaging, 2020.

· Yikun Jiang, Peixin Li, Yungeng Zhang, Yuru Pei*, Yuke Guo, Si Chen, Tianmin Xu, Xiaoru Yuan, 3D Volume Reconstruction from Single Lateral X-ray Image via Cross-Modal Discrete Embedding Transition, International Workshop on Machine Learning in Medical Imaging, 2020.

· Mochen Yu, Yuke Guo, Diya Sun, Yuru Pei*, Tianmin Xu, Automatic Tooth Segmentation and 3D Reconstruction from Panoramic and Lateral Radiographs, Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2020.

· Diya Sun, Yuru Pei*, Yuke Guo,Gengyu Ma, Tianmin Xu, and Hongbin Zha, Correspondence-Steered Volumetric Descriptor, Learning Using Deep Functional Maps, 9th International Workshop on Machine Learning in Medical Imaging (MLMI 2019), LNCS, Springer.

· Yungeng Zhang, Yuru Pei*, Haifang Qin, Yuke Guo, Gengyu Ma, Tianmin Xu, and Hongbin Zha，Masseter Muscle Segmentation from Cone-Beam CT Images Using Generative Adversarial Network, IEEE International Symposium on Biomedical Imaging (ISBI’19), IEEE, 2019

· Yuke Guo, Yuru Pei*, Incremental Feature Forest for Real-Time SLAM on Mobile Devices, Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 431-438, 2018, Springer, Cham.

· Haifang Qin, Yuru Pei*, Yuke Guo,Gengyu Ma, Tianmin Xu, and Hongbin Zha Masseter Segmentation from Computed Tomography Using Feature-Enhanced Nested Residual Neural Network, 9th International Workshop on Machine Learning in Medical Imaging (MLMI 2018), LNCS,  Springer, 2018.

· Yungeng Zhang,Yuru Pei*, Haifang Qin, Yuke Guo,Gengyu Ma, Tianmin Xu, and Hongbin Zha, Temporal Consistent 2D-3D Registration of Lateral Cephalograms and Cone-Beam Computed Tomography Images, 9th International Workshop on Machine Learning in Medical Imaging (MLMI 2018), LNCS,  Springer, 2018.

· Diya Sun, Yuru Pei*, Yuke Guo,Gengyu Ma, Tianmin Xu, and Hongbin Zha, Dense Correspondence of Cone-Beam Computed Tomography Images Using Oblique Clustering Forest, British Machine Vision Conference （BMVC）, 2018.

· Yuru Pei*, Yungeng Zhang, Gengyu Ma, Yuke Guo, Tianmin Xu, and Hongbin Zha, Consistent Correspondence of Cone-Beam CT Images Using Volume Functional Maps. In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) (pp. 801-809). Springer, Cham.

· Yuru Pei*, Yunai Yi, Gengyu Ma, Tae-Kyun Kim, Yuke Guo, Tianmin Xu, and Hongbin Zha, "Spatially Consistent Supervoxel Correspondences of Cone-Beam Computed Tomography Images." IEEE Transactions on medical imaging 37.10 (2018): 2310-2321.

· Yuru Pei*, Yunai Yi, Gengyu Ma, Yuke Guo, Gui Chen, Tianmin Xu, Hongbin Zha, Mixed Metric Random Forest for Dense Correspondence of Cone-Beam Computed Tomography Images, Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2017: 283-290.

· Yuru Pei*, Gengyu Ma, Gui Chen, Xiaoyun Zhang, Tianmin Xu, Hongbin Zha, Superimposition of Cone-Beam Computed Tomography Images by Joint Embedding, IEEE Transactions on Biomedical Engineering, 2017, 64(6): 1218-1227.

· Yuru Pei*, Xingsheng Ai, Hongbin Zha, Tianmin Xu, and Gengyu Ma, 3D Exemplar-Based Random Walks for Tooth Segmentation from Cone-Beam Computed Tomography Images, Medical Physics, 43.9 (2016): 5040-5050.

· Yuru Pei*, Yunai Yi, Gui Chen, Tianmin Xu, Hongbin Zha, Gengyu Ma, Voxel-Wise Correspondence of Cone-Beam Computed Tomography Images by Cascaded Randomized Forest, IEEE International Symposium on Biomedical Imaging (ISBI’17), IEEE, 2017: 481-484.

· Yuru Pei*, Yungeng Zhang, Haifang Qin, Gengyu Ma, Yuke Guo, Tianmin Xu, and Hongbin Zha，Non-rigid Craniofacial 2D-3D Registration Using CNN-Based Regression, International Workshop on Deep Learning in Medical Image Analysis (DLMIA), LNCS, Springer, Cham, 2017: 117-125.

· Yuru Pei*, Yunai Yi, Gengyu Ma, Yuke Guo, Gui Chen, Tianmin Xu, and Hongbin Zha，Finding Dense Supervoxel Correspondence of Cone-Beam Computed Tomography Images, 8th International Workshop on Machine Learning in Medical Imaging (MLMI 2017), LNCS,  Springer, Cham, 2017: 114-122.

· Yuru Pei*, Haifang Qin, Gengyu Ma, Yuke Guo, Gui Chen, Tianmin Xu, and Hongbin Zha，Multi-Scale Volumetric ConvNet with Nested Residual Connections for Segmentation of Anterior Cranial Base, 8th International Workshop on Machine Learning in Medical Imaging (MLMI 2017), LNCSSpringer, Cham, 2017: 123-131.

· Yuru Pei*, Gengyu Ma, Fast 3D Hand Estimation for Mobile Interactions, Proc. Int. Conf. on Pattern Recognition (ICPR), IEEE, 2016: 979-984.

· Yuru Pei*, Fanfan Dai, Tianmin Xu, Hongbin Zha, Gengyu Ma, Volumetric Reconstruction of Craniofacial Structures From 2D Lateral Cephalograms By Regression Forest, in Proc. IEEE Int. Conf. on Image Processing (ICIP’16), IEEE, 2016: 4052-4056.

· Yuru Pei*, Lei Kou, Hongbin Zha, Anatomical Structure Similarity Estimation By Random Forest, in Proc. IEEE Int. Conf. on Image Processing (ICIP’16), IEEE, 2016: 2941-2945.

· Weiwei Liu, Yuru Pei*, Hongbin Zha, Multi-Modal Brain Image Registration Based on Manifold-to-Manifold Distance, Proc. International Conference on Image and Graphics, LNCS 9218: 538-546 (2015).

· Yuru Pei*, T.-K. Kim, Hongbin Zha, Unsupervised Random Forest Manifold Alignment for Lipreading, Proc. IEEE International Conference on Computer Vision (ICCV), 2013.

· Yuru Pei*, Fengchun Huang, Fuhao Shi, and Hongbin Zha, Unsupervised Image Matching based on Manifold Alignment, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), VOL. 34, NO. 8, pp. 1658-1664, 2012.

· Yuru Pei*, Fuhao Shi, Hua Chen, Jia Wei, Hong Zha, Ruoping Jiang, and Tianmin Xu, Personalized Tooth Shape Estimation from Radiograph and Cast, IEEE Transactions on Biomedical Engineering, vol. 59, NO. 9, pp. 2400 – 2411, 2012.

· Yuru Pei*, Hongbin Zha, "Transferring of Speech Movements from Video to 3D Face Space," IEEE Transactions on Visualization and Computer Graphics (VCG), vol. 13, no. 1, pp. 58-69, Jan/Feb, 2007.

· Yuru Pei*, Hongbin Zha, and Zhongbiao Yuan, “The Craniofacial Reconstruction from the Local Structural Diversity of Skulls,” Computer Graphics Forum, 27(7), 1711-1718. 2008.

· Yuru Pei*, Hongbin Zha, “Stylized Synthesis of Facial Speech Motions”, Computer Animation & Virtual Worlds, vol. 18, no. 4-5, pp.517-526, 2007.

· Yuru Pei*, Bin Liu, Hongbin Zha, Bing Han, Tianmin Xu, Anatomical Structure Sketcher for Cephalograms by Bimodal Deep Learning, Proc. British Machine Vision Conference （BMVC）, 2013.

· Wai-Lam Hoo, Tae-Kyun Kim, Yuru Pei, Chee-Seng Chan, Enhanced Random Forest with Image/Patch-Level Learning for Image Understanding, Int. Conf. on Pattern Recognition，ICPR 2014.

· Xiaonan Yu, Bin Liu, Yuru Pei, and Tianmin Xu (2014) Evaluation of facial attractiveness for patients with malocclusion: A machine-learning technique employing Procrustes. The Angle Orthodontist: May 2014, Vol. 84, No. 3, pp. 410-416.

· Fengchun Huang, Yuru Pei*, H. Zha, Automatic Label Transfer of Lip Motion Sequences by Manifold Alignment, in Proc. IEEE Int. Conf. on Image Processing (ICIP’12), 2012.

· Anjun Wei, Yuru Pei*, Hongbin Zha, Random-Sampling-Based Spatial-Temporal Feature for Consumer Video Concept Classification, in Proc. IEEE Int. Conf. on Image Processing (ICIP’12), 2012.

· Fuhao Shi, Yuru Pei*, Hongbin Zha, " Interactive Modeling of 3d Facial Expressions with Hierarchical Gaussian Process Latent Variable Models". Proc. IEEE Int. Conf. on Image Processing (ICIP’09), pp.2477-2480, 2009.

· Yuru Pei*, Hongbin Zha, " Visyllable-Specific Facial Transition Motion Embedding and Extraction ". Proc. IEEE Int. Conf. on Image Processing (ICIP’09), pp.1809-1812, 2009.

· Yuru Pei*, Hongbin Zha, “3D Facial Expression Editing Based on the Dynamic Graph Model,” IEEE Int. Conf. on Multimedia & Expo (ICME ‘09), pp. 1354-1357, Jun.28-Jul.3, New York, 2009.

· Yuru Pei*, Hongbin Zha, and Zhongbiao Yuan, "Facial Feature Estimation from the Local Structural Diversity of Skulls". Proc. 19th Int. Conf. on Pattern Recognition (ICPR’08), Tampa, Florida, U.S.A., December 8-11, 2008.

· Yuru Pei*, Hongbin Zha, and Zhongbiao Yuan, "Creating a face model from an unknown skull based on the tissue map". Proc. 2008 IEEE Int. Conf. on Image Processing (ICIP’08), San Diego, California, U.S.A., October 12-15, 2008.

· Yuru Pei, Hongbin Zha, “Vision Based Speech Animation Transferring with Underlying Anatomical Structure”, Computer Vision–ACCV 2006, LNCS 3851, Part 1, pp.591-600, 2006.

· Yuru Pei, Hongbin Zha, “Transferring Speech Video onto 3D Realistic Human Faces”, Proc. Pacific Graphics 2005(PG05), pp. 13-15, 2005.

· Yuru Pei, Hongbin Zha, Zhongbiao Yuan, “Tissue Map based Craniofacial Reconstruction and Facial Deformation Using RBF Network”, Proc. Int. Conf. on Image and Graphics (ICIG04), pp.398-401, 2004.

· Yuru Pei, Hongbin Zha, “Shape and Expression Space of Realistic Human Faces”, Journal of Computer- Aided Design & Computer Graphics, vol. 18，no. 5，pp.1-7，2006. (Chinese)

· Yuru Pei, Yue Chen, “Object Reconstruction Based On Polyhedral Visual Hulls” ，Proc. Int. Conf. on Computer Graphics and Spatial Information System (CG&SIS02), pp.65-73, Beijing, China, 2002.

· Yuru Pei, Yue Chen, “Polyhedral Visual Hull Generation Based on Edge-Pool-Searching Technique，” Proc. Int. Conf. on Visual System and Multimedia (VSMM02), pp.608-617, Gyeongju, Korea, 2002.

· Yue Chen, Yuru Pei, “Fast Polyhedral Surface Mesh Generation Algorithm for 3D Objects based on 2D Photo Images”, Journal of Zhejiang University (Engineering Science), NO.5, vol.37, pp.537-542, Sep.2003 (Chinese).

· Yuru Pei, Yue Chen, “Polyhedral Visual Hull Generation based on Degeneration Polygons Intersection”, Computer Engineering and Applications, NO. 28, pp.109-112, Sep.2003 (Chinese).

· Yuru Pei, Yue Chen, “Fast Polyhedral Visual Hull Reconstruction Algorithm from Photo Series”, Computer Engineering, NO.16, Vol29, pp.79-81, Sep.2003 (Chinese).

· Yuru Pei, Yue Chen, “Photo Image based Modeling and New Algorithm for Surface Mesh Generation”, Proc. of Conference on Visual Reality and Vision 2002, pp.45-53, Hangzhou, China(Chinese).

· Yuru Pei, “Automatic Rendering of Traditional Chinese Paintings Based on Style Database” ，Journal of Computer Engineering and Applications, pp.149-151, vol38, 2002(Supplement) (Chinese).