Ruiping Wang

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Shiguang ShanProfessor of Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Xilin ChenInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Zhiwu HuangComputer Vision Lab, ETH ZurichVerified email at vision.ee.ethz.ch
Wen Gao（高文）Professor of Computer Science, Peking UniversityVerified email at pku.edu.cn
Mengyi LiuPhD, Institute of Computing Technology, Chinese Academy of SciencesVerified email at vipl.ict.ac.cn
Haomiao LiuVerified email at vipl.ict.ac.cn
Qionghai DaiTsinghua UniversityVerified email at tsinghua.edu.cn
Shaoxin LiYoutu Lab, TencentVerified email at tencent.com
Jie ChenPeking University, Shenzhen Graduate SchoolVerified email at pku.edu.cn
Huajie JiangInstitute of Computing Technology, Chinese Academy of ScienceVerified email at vipl.ict.ac.cn
Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Huimin Guo (Maggie)Scientist at Microsoft HoloLensVerified email at cs.umd.edu
Shishi QiaoInstitute of Computing Technology, Chinese Academy of SciencesVerified email at vipl.ict.ac.cn
Shengye YAN（闫胜业）Minieye R&D Center@Nanjing and NUIST@NanjingVerified email at minieye.cc
Luc Van Goolprofessor computer vision ETH Zurich & KU Leuven, Head Toyota Lab TRACE @ KUL & ETHVerified email at ethz.ch
Yong LiuInstitute of Computing Technology, Chinese Academy of SciencesVerified email at vipl.ict.ac.cn
Difei GaoInstitute of Computing Technology, Chinese Academy of SciencesVerified email at mails.ucas.ac.cn
Wen-Bin WangInstitute of Computing Technology (ICT), Chinese Academy of Sciences (CAS)Verified email at vipl.ict.ac.cn
Meina KanInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Xiaowei ZhaoInstitute of Computing Technology, Chinese Academy of Sciences (ICT,CAS)Verified email at vipl.ict.ac.cn

Ruiping Wang

Professor, Institute of Computing Technology, Chinese Academy of Sciences

Verified email at ict.ac.cn - Homepage

Computer Vision Pattern Recognition Machine Learning


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Deep Supervised Hashing for Fast Image Retrieval H Liu, R Wang, S Shan, X Chen International Journal of Computer Vision 127 (9), 1217–1234, 2019	596	2019
Deep supervised hashing for fast image retrieval H Liu, R Wang, S Shan, X Chen Computer Vision and Pattern Recognition, 2016. CVPR 2016. IEEE Conference on …, 2016	596	2016
Manifold-manifold distance with application to face recognition based on image set R Wang, S Shan, X Chen, W Gao Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008	506	2008
Covariance Discriminative Learning: A Natural and Efficient Approach to Image Set Classification R Wang, H Guo, LS Davis, Q Dai Computer Vision and Pattern Recognition, 2012. CVPR 2012. IEEE Conference on …, 2012	446	2012
Manifold discriminant analysis R Wang, X Chen Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009	338	2009
Learning Expressionlets on Spatio-Temporal Manifold for Dynamic Facial Expression Recognition M Liu, S Shan, R Wang, X Chen Computer Vision and Pattern Recognition, 2014. CVPR 2014. IEEE Conference on …, 2014	335	2014
Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis M Liu, S Li, S Shan, R Wang, X Chen 12th Asian Conference on Computer Vision (ACCV 2014), 2014	287	2014
Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification Z Huang, R Wang, S Shan, X Li, X Chen The 32nd International Conference on Machine Learning (ICML 2015), 2015	202	2015
Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition Z Huang, R Wang, S Shan, X Chen Computer Vision and Pattern Recognition, 2015. CVPR 2015. IEEE Conference on …, 2015	198	2015
Combining multiple kernel methods on riemannian manifold for emotion recognition in the wild M Liu, R Wang, S Li, S Shan, Z Huang, X Chen Proceedings of the 16th International Conference on Multimodal Interaction …, 2014	180	2014
Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships Y Liu, R Wang, S Shan, X Chen Computer Vision and Pattern Recognition, 2018. CVPR 2018. IEEE Conference on …, 2018	140	2018
Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition with Image Sets W Wang, R Wang, Z Huang, S Shan, X Chen IEEE Transactions on Image Processing 27 (1), 151-163, 2018	136	2018
Discriminant analysis on Riemannian manifold of Gaussian distributions for face recognition with image sets W Wang, R Wang, Z Huang, S Shan, X Chen Computer Vision and Pattern Recognition, 2015. CVPR 2015. IEEE Conference on …, 2015	136	2015
A benchmark and comparative study of video-based face recognition on COX face database Z Huang, S Shan, R Wang, H Zhang, S Lao, A Kuerban, X Chen IEEE Transactions on Image Processing 24 (12), 5967 - 5981, 2015	134	2015
Manifold–manifold distance and its application to face recognition with image sets R Wang, S Shan, X Chen, Q Dai, W Gao IEEE Transactions on Image Processing 21 (10), 4466-4479, 2012	127	2012
Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification Z Huang, R Wang, S Shan, X Chen Computer Vision and Pattern Recognition, 2014. CVPR 2014. IEEE Conference on …, 2014	90	2014
Learning Discriminative Latent Attributes for Zero-Shot Classification H Jiang, R Wang, S Shan, Y Yang, X Chen Proceedings of the IEEE International Conference on Computer Vision, 4223-4232, 2017	82	2017
Face recognition on large-scale video in the wild with hybrid Euclidean-and-Riemannian metric learning Z Huang, R Wang, S Shan, X Chen Pattern Recognition 48 (10), 3113-3124, 2015	80	2015
Learning class prototypes via structure alignment for zero-shot recognition H Jiang, R Wang, S Shan, X Chen Proceedings of the European conference on computer vision (ECCV), 118-134, 2018	75	2018
Maximal linear embedding for dimensionality reduction R Wang, S Shan, X Chen, J Chen, W Gao IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (9), 1776-1792, 2011	72	2011

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