导师介绍
姓名 山世光 性别 男
联系方式 sgshan@ict.ac.cn 电话： 职称 研究员
研究方向 计算机视觉，机器学习，模式识别
个人介绍
简历:
山世光，中科院计算所研究员、博导，现任中科院智能信息处理重点实验室常务副主任。他是基金委优青，CCF青年科学家奖获得者，第三批国家****入选者，科技部创新人才推进计划中青年科技创新领军人才，人社部国家百千****才工程有突出贡献中青年专家。他的研究领域为计算机视觉和机器学习。已在国内外刊物和学术会议上发表论文300余篇，其中CCF A类论文70余篇，论文被谷歌学术引用13900余次(2018年7月数据)。曾应邀担任过ICCV11，ACCV12/16/18，ICPR12/14，FG13/18，ICASSP14，BTAS18, CVPR19等十余次领域主流国际会议的领域主席，现/曾任IEEE TIP, CVIU, PRL, Neurocomputing, FCS等国际学术刊物的编委(AE)。研究成果获2005年度国家科技进步二等奖，2015年度国家自然科学二等奖，CVPR2008 Best Student Poster Award Runner-up奖。他带领团队研发的人脸识别技术已应用于公安部门、华为、平安科技等客户的众多产品或系统中，取得了良好的经济和社会效益。
他的研究兴趣集中于以人脸识别为典型案例的计算机视觉和机器学习理论、方法和关键技术上，特别是在人脸识别领域有超过20年的研究经验。近年来也特别关注基于面像的情感计算，面向智能监控的视频结构化，面向无人机的视觉计算等应用。在理论和算法层面，他和团队有非常丰富的机器学习特别是深度学习研究经验，尤其关注X数据驱动的机器学习理论和方法，这里所谓的X数据包括小数据、无监督数据、半监督数据、弱监督数据、脏数据、增广数据等等。作为个人兴趣，他深切关注认知神经科学和脑科学的进展，并乐于思考和讨论生物视觉的本质问题，以及脑神经科学给视觉计算带来的启示。

研究方向:
计算机视觉，机器学习，模式识别
社会任职:

获奖及荣誉:

代表论著:
国际刊物论文：
[1]Kongming Liang, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen, "Unifying Visual Attribute Learning with Object Recognition in a Multiplicative Framework," IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2018
[2]Zhiwu Huang, Ruiping Wang, Shiguang Shan*, Luc Van Gool, Xilin Chen. Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video. IEEE Trans. on Pattern Analysis and Machine Intelligence. 2018
[3]Hu Han, Anil Jain, Fang Wang, Shiguang Shan, Xilin Chen. Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach. IEEE Trans. on Pattern Analysis and Machine Intelligence. 2018
[4]Risheng Liu, Guangyu Zhong, Junjie Cao, Zhouchen Lin, Shiguang Shan, Zhongxuan Luo. Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis. IEEE Trans. on Pattern Analysis and Machine Intelligence. 38(12)2457 – 2471, 2016
[5]Meina Kan, Shiguang Shan, Haihong Zhang, Shihong Lao, and Xilin Chen. Multi-View Discriminant Analysis. IEEE Trans. on Pattern Analysis and Machine Intelligence. 38(1):188-194, 2016.1
[6]Jinli Suo, Xilin Chen, Shiguang Shan, Wen Gao and Qionghai Dai. A Concatenational Graph Evolution Aging Model. IEEE Trans. on Pattern Analysis and Machine Intelligence. 34(11):2083-2096, 2012.11
[7]Ruiping Wang, Shiguang Shan, Xilin Chen, Jie Chen, Wen Gao. Maximal Linear Embedding for Dimensionality Reduction. IEEE Trans. on Pattern Analysis and Machine Intelligence. 33 (9), 1776 - 1792, 2011.9
[8]Jie Chen, Shiguang Shan, Chu He, Guoying Zhao, Matti Pietik?inen, Xilin Chen, Wen Gao. WLD: A Robust Local Image Descriptor. IEEE Trans. on Pattern Analysis and Machine Intelligence. vol.32, no.9, 1705-1720, 2010.9
[9]Jinli Suo, Song-Chun Zhu, Shiguang Shan, Xilin Chen, "A Compositional and Dynamic Model for Face Aging," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 3, pp. 385-401, Mar. 2010
[10]Meina Kan, Junting Wu, Shiguang Shan*, Xilin Chen. Domain Adaptation for Face Recognition: Targetize Source Domain Images Bridged by Common Subspace (TSC). International Journal of Computer Vision: Volume 109, Issue 1 (2014), Page 94-109. 2014
[11Wen Wang, Ruiping Wang, Zhiwu Huang, Shiguang Shan, Xilin Chen, “Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition with Image Sets,” IEEE Transactions on Image Processing (TIP), vol. 27, no. 1, pp. 151-163, Jan. 2018
[12]Mengyi Liu, Shiguang Shan, Ruiping Wang, Xilin Chen, “Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition,” IEEE Transactions on Image Processing (TIP), vol. 25, no. 12, pp. 5920-5932, Dec. 2016.
[13]Y Li, R Wang, Z Cui, S Shan, X Chen. Spatial Pyramid Covariance-Based Compact Video Code for Robust Face Retrieval in TV-Series. IEEE Transactions on Image Processing 25 (12), 5905-5919. 2016
[14]Shaoxin Li, Shiguang Shan, Shuicheng Yan, Xilin Chen. Relative Forest for Visual Attribute Prediction. IEEE Trans. on Image Processing. 25 (9), 3991-4003. 2016
[15]Zhiwu Huang, Shiguang Shan, Ruiping Wang, Haihong Zhang, Shihong Lao, Alifu Kuerban and Xilin Chen. A Benchmark and Comparative Study of Video-based Face Recognition on COX Face Database. IEEE Trans. on Image Processing. 24(12), 5967-5981, 2015.12
[16]Shaoxin Li, Xin Liu, Xiujuan Chai, Haihong Zhang, Shihong Lao, Shiguang Shan. Maximal Likelihood Correspondence Estimation for Face Recognition Across Pose. IEEE Trans. on Image Processing. Vol. 23, No. 10, pp 4587-4600, Oct. 2014
[17]Meina Kan, Dong Xu, Shiguang Shan, Wen Li, Xilin Chen. Learning Prototype Hyperplanes for Face Verification in the Wild. IEEE Trans. on Image Processing, vol.22, no.8, pp3310-3316, Aug.2013
[18]Ruiping Wang, Shiguang Shan, Xilin Chen, Wen Gao, Qionghai Dai. Manifold-Manifold Distance and Its Application to Face Recognition with Image Sets. IEEE Transactions on Image Processing. 21(10), pp4466-4479, Oct. 2012
[19]Annan Li, Shiguang Shan and Wen Gao. Coupled Bias-Variance Trade off for Cross-Pose Face Recognition. IEEE Transactions on Image Processing, Vol.21, No.1, pp305-315, Jan.2012
[20]Shufu Xie, Shiguang Shan, Xilin Chen, Jie Chen. Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition. IEEE Trans. on Image Processing. Vol.19, No.5, pp1349-1361, 2010.5
[21]Yu Su, Shiguang Shan, Xilin Chen, Wen Gao. Hierarchical Ensemble of Global and Local Classifiers for Face Recognition. IEEE Transactions on Image Processing, VOL. 18, NO. 8, pp 1885-1896, Aug. 2009
[22]Xiujuan Chai, Shiguang Shan, Xilin Chen and Wen Gao. Locally Linear Regression for Pose Invariant Face Recognition. IEEE Trans. on Image Processing. Vol.16, No.7, pp1716-1725, 2007.7
[23]Baochang Zhang, Shiguang Shan, Xilin Chen, and Wen Gao. Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition. IEEE Transaction on Image Processing, 16(1), pp57-68, Jan.2007.
[24]Yu Su, Shiguang Shan, Xilin Chen, Wen Gao. Classifiability-based Discriminatory Projection Pursuit. IEEE Trans. on Neural Network. Volume 22, Issue: 12, Pages: 2050-2061. Dec. 2011.
[25]Zhiwu Huang, Ruiping Wang, Xianqiu Li, Wenxian Liu, Shiguang Shan, Luc Van Gool, Xilin Chen. Geometry-aware Similarity Learning on SPD Manifolds for Visual Recognition, IEEE Transactions on circuits and systems for video technology. Accepted (2017.5.15)
国际会议论文:
[1]Chunrui Han, Shiguang Shan, Meina Kan, Shuzhe Wu, Xilin Chen. Face Recognition with Contrastive Convolution. European Conference on Computer Vision, ECCV, 2018
[2]Jiabei Zeng, Shiguang Shan, Xilin Chen. Facial Expression Recognition with Inconsistently Annotated Datasets, European Conference on Computer Vision, ECCV, 2018
[3]Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin Chen. Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition, European Conference on Computer Vision, ECCV, 2018
[4]Gang Zhang, Meina Kan, Shiguang Shan, Xilin Chen. Generative Adversarial Network with Spatial Attention for Face Attribute Editing. ECCV2018, European Conference on Computer Vision, ECCV, 2018
[5]Xuepeng Shi, Shiguang Shan, Meina Kan, Shuzhe Wu, Xilin Chen. Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018)
[6]Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen. Duplex Generative Adversarial Network for Unsupervised Domain Adaptation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018)
[7]Hongyu Pan, Hu Han, Shiguang Shan, Xilin Chen. Mean-variance Loss for Deep Age Estimation from A Face. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018)
[8]Yong Liu, Ruiping Wang, Shiguang Shan, Xilin Chen. Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018)
[9]Huajie Jiang, Ruiping Wang, Shiguang Shan, Yi Yang, Xilin Chen. Learning Discriminative Latent Attributes for Zero-Shot Classification. ICCV 2017
[10]Wanglong Wu, Meina Kan, Xin Liu, Yi Yang. Shiguang Shan, Xilin Chen. Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition. ICCV 2017
[11]Haomiao Liu, Ruiping Wang, Shiguang Shan, Xilin Chen. Learning multifunctional binary codes for both category and attribute oriented retrieval tasks. CVPR 2017, Honolulu, HI, July 21-26, 2017
[12]Wen Wang, Ruiping Wang, Shiguang Shan, Xilin Chen, “Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), pp. 5749-5758, Honolulu, HI, July 21-26, 2017
[13]Fei Wu, Xiao-Yuan Jing, Shiguang Shan, Wangmeng Zuo, Jing-Yu Yang. Multiset Feature Learning for Highly Imbalanced Data Classification. The thirty-first AAAI Conference on Artificial Intelligence. San Francisco, California USA, 2017.2.4-9
[14]Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen. Semi-supervised Multi-view Correlation Feature Learning with Application to Webpage Classification. The thirty-first AAAI Conference on Artificial Intelligence. San Francisco, California USA, 2017.2.4-9
[15]Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen. Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders. CVPR 2016
[16]Meina Kan, Shiguang Shan, Xilin Chen. Multi-View Deep Network for Cross-View Classification. CVPR 2016
[17]Haomiao Liu, Ruiping Wang, Shiguang Shan, Xilin Chen, “Deep Supervised Hashing for Fast Image Retrieval,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), pp. 2064-2072, Las Vegas, NV, June 26-July 1, 2016
[18]M. Kan, S. Shan, X. Chen. Bi-shifting Auto-Encoder for Unsupervised Domain Adaptation. In Proceeding of International Conference on Computer Vision (ICCV) 2015. pp. 3846-3854, December 11-18, Santiago, Chile
[19]J. Zhang, M. Kan, S. Shan, X. Chen. Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network. In Proceeding of International Conference on Computer Vision (ICCV) 2015. pp. 3801-3809, December 11-18, Santiago, Chile
[20]Y. Li, R. Wang, H. Liu, H. Jiang, S. Shan, X. Chen. Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction. In Proceeding of International Conference on Computer Vision (ICCV)2015. pp. 3819-3827, December 11-18, Santiago, Chile
[21]K. Liang, H. Chang, S. Shan, X. Chen. A Unified Multiplicative Framework for Attribute Learning. In Proceeding of International Conference on Computer Vision (ICCV) 2015. pp. 2506-2514, December 11-18, Santiago, Chile
[22]Lu Jiang, Deyu Meng, Qian Zhao, Shiguang Shan, Alexander G. Hauptmann. Self-paced curriculum learning. AAAI 2015
[23]Zhiwu Huang, Ruiping Wang, Shiguang Shan, Xianqiu Li, Xilin Chen. Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification. in Proceedings of the 32 nd International Conference on Machine Learning, Lille, France, 2015. JMLR: W&CP volume 37
[24]Zhiwu Huang, Ruiping Wang, Shiguang Shan, Xilin Chen, “Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition”, to appear in Proc. of The 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
[25]Yan Li, Ruiping Wang, Zhiwu Huang, Shiguang Shan, Xilin Chen, “Face Video Retrieval with Image Query via Hashing across Euclidean Space and Riemannian Manifold”, to appear in Proc. of The 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
[26]Wen Wang, Ruiping Wang, Zhiwu Huang, Shiguang Shan, Xilin Chen, “Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition with Image Sets”, to appear in Proc. of The 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
[27]Shaoxin Li, Junliang Xing, Zhiheng Niu, Shiguang Shan, Shuicheng Yan. Shape Driven Kernel Adaptation in Convolutional Neural Network for Robust Facial Traits Recognition. in Proc. of The 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
[28]Zhen Cui, Hong Chang, Shiguang Shan, Xilin Chen. Generalized Unsupervised Manifold Alignment. NIPS2014.
[29]Lu Jiang, Deyu Meng, Shoou-I Yu, Zhenzhong Lan, Shiguang Shan, Alexander G. Hauptmann. Self-Paced Learning with Diversity. NIPS2014.
[30]Jie Zhang, Shiguang Shan, Meina Kan, and Xilin Chen. Coarse-to-Fine Auto-encoder Networks (CFAN) for Real-time Face Alignment. European Conference on Computer Vision. 2014 ( oral)
[31]Zhen Cui, Hong Chang, Shiguang Shan, Bineng Zhong, and Xilin Chen. Deep Network Cascade for Image Super-resolution. European Conference on Computer Vision. 2014
[32]Xing Yan, Hong Chang, Shiguang Shan, and Xilin Chen. Modeling Video Dynamics with Deep Dynencoder. European Conference on Computer Vision. 2014
[33]Zhiwu Huang, Ruiping Wang, Shiguang Shan, Xilin Chen. Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification. IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, CVPR2014. Columbus, USA. Jun.23-28, 2014
[34]Meina Kan, Shiguang Shan, Hong Chang, Xilin Chen. Stacked Progressive Auto-Encoder (SPAE) for Face Recognition Across Poses. IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, CVPR2014. Columbus, USA. Jun.23-28, 2014
[35]Mengyi Liu, Shiguang Shan, Ruiping Wang, Xilin Chen. Learning Expressionlets on Spatio-Temporal Manifold for Dynamic Facial Expression Recognition. IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, CVPR2014. Columbus, USA. Jun.23-28, 2014
[36]Risheng Liu, Junjie Cao, Zhouchen Lin, Shiguang Shan. Adaptive Partial Differential Equation Learning for Visual Saliency Detection. IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, CVPR2014. Columbus, USA. Jun.23-28, 2014
[37]Xiaowei Zhao, Shiguang Shan, Xiujuan Chai, Xilin Chen. Cascaded Shape Space Pruning for Robust Facial Landmark Detection. ICCV 2013
[38]Zhiwu Huang, Xiaowei Zhao, Shiguang Shan, Ruiping Wang, Xilin Chen. Coupling Alignments with Recognition for Still-to-Video Face Recognition. ICCV2013
[39]Zhen Cui, Wen Li, Dong Xu, Shiguang Shan, Xilin Chen. Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild. IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, CVPR2013
[40]Shaoxin Li, Xin Liu, Xiujuan Chai, Haihong Zhang, Shihong Lao, Shiguang Shan. Morphable Displacement Field based Image Matching for Face Recognition across Poses. 12th European Conference on Computer Vision (ECCV), Firenze, Italy, October 7-13, 2012.
[41]Meina Kan, Shiguang Shan, Haihong Zhang, Shihong Lao, Xilin Chen. Multi-view Discriminant Analysis. 12th European Conference on Computer Vision (ECCV), Firenze, Italy, October 7-13, 2012.
[42]Hu Han, Shiguang Shan, Xilin Chen, Shihong Lao, Wen Gao. Separability Oriented Preprocessing for Illumination-invariant Face Recognition. 12th European Conference on Computer Vision (ECCV), Firenze, Italy, October 7-13, 2012.
[43]Xiaowei Zhao, Xiujuan Chai, Shiguang Shan. Joint Face Alignment: Rescue Bad Alignments with Good Ones by Regularized Re-fitting.12th European Conference on Computer Vision (ECCV), Firenze, Italy, October 7-13, 2012.
[44]Zhen Cui, Shiguang Shan, Haihong Zhang, Shihong Lao, Xilin Chen. Image Sets Alignment for Video-based Face Recognition. IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, CVPR2012
[45]Annan Li, Shiguang Shan, Xilin Chen, Wen Gao. Face Recognition Based on Non-Corresponding Region Matching. 12th International Conference on Computer Vision, ICCV 2011, pp1060-1067, Barcelona, Spain, Nov. 2011
[46]Hu Han, Shiguang Shan, Laiyun Qing, Xilin Chen, Wen Gao. Lighting Aware Preprocessing for Face Recognition across Varying Illumination. ECCV2010
[47]Yazhou Liu, Shiguang Shan, Xilin Chen, Janne Heikkila, Wen Gao, Matti Pietik?inen. Spatial-Temporal Granularity-tunable Gradients Partition (STGGP) descriptors for human detection. ECCV 2010
[48]Yu Su, Shiguang Shan, Xilin Chen, Wen Gao. Adaptive Generic Learning for Face Recognition from a Single Sample per Person. Accepted by IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, CVPR2010.
[49]Jinli Suo, Xilin Chen, Shiguang Shan, Wen Gao. Learning long term face aging patterns from partially dense aging databases. 12th International Conference on Computer Vision, ICCV 2009, pp 622-629, 2009/9/29
[50]Annan Li, Shiguang Shan, Xilin Chen, and Wen Gao. Maximizing Intra-individual Correlations for Face Recognition across Pose Difference. IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, CVPR2009.
[51]Xiaopeng Hong, Hong Chang, Shiguang Shan, Xilin Chen and Wen Gao. Sigma Set: A Small Second Order Statistical Region Descriptor. IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, CVPR2009.
[52]Yazhou Liu, Shiguang Shan, Wenchao Zhang, Xilin Chen, Wen Gao. Granularity-tunable gradients partition (GGP) descriptors for human detection. IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, CVPR2009.
[53]Ruiping Wang, Shiguang Shan, Xilin Chen, Wen Gao. Manifold-Manifold Distance with Application to Face Recognition based on Image Set. IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, CVPR2008, Anchorage, Alaska, U.S.A, Jun. 2008 (Best Student Poster Award Runner-up)
[54]Yu Su, Shiguang Shan, Xilin Chen, Wen Gao. Classifiability-Based Optimal Discriminatory Projection Pursuit. IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, CVPR2008, Anchorage, Alaska, U.S.A, Jun. 2008
[55]Shiguang Shan, Bo Cao, Yu Su, Laiyun Qing, Xilin Chen, Wen Gao. Unified Principal Component Analysis with Generalized Covariance Matrix for Face Recognition. IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, CVPR2008, Anchorage, Alaska, U.S.A, Jun. 2008
[56]Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao. Locally Assembled Binary (LAB) Feature for Fast and Accurate Face Detection. IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, CVPR2008, Anchorage, Alaska, U.S.A, Jun. 2008
[57]Jie Chen, Shiguang Shan, Guoying Zhao, Xilin Chen, Wen Gao, Matti Pietik?inen. A Robust Descriptor based on Weber’s Law. IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, CVPR2008, Anchorage, Alaska, U.S.A, Jun. 2008
[58]Yu Su, Shiguang Shan, Xilin Chen, Wen Gao. Hierarchical Ensemble of Global and Local Classifiers for Face Recognition. Proceedings of the 11th International Conference on Computer Vision (ICCV2007), pp1-8, Rio de Janeiro, Brazil, October 14-20, 2007
[59]Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao. Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR2007.pp1-7. 2007
[60]Jinli Suo, Feng Min, SongChun Zhu, Shiguang Shan, Xilin Chen. A Multi-Resolution Dynamic Model for Face Aging Simulation. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR2007
[61]Wenchao Zhang, Shiguang Shan, Wen Gao, and Xilin Chen, “Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A Novel Non-Statistical Model for Face Representation and Recognition”, IEEE International Conference on Computer Vision, ICCV’05, pp.786-791, 2005.

承担科研项目情况:
1)国家重点研发计划项目课题，复杂样本条件下的深度学习方法与技术，2018-2022，课题负责人
2)国家自然科学基金委应急启动项目，大规模网络直播视频流实时分析，2017-2019，子课题负责人
3)企业重大项目合作，人脸识别技术合作项目，2016-2019，项目负责人
4)企业重大项目合作，人脸感知技术合作项目，2017-2018，项目负责人
5)企业重大项目合作，视频大数据多种类对象检测技术合作项目，2016-2017，项目负责人
6)国家自然科学基金委“优青”项目，视觉模式分析与识别，2013-2015，项目负责人
7)国家自然科学基金委重点项目子课题，基于视觉特性的图像/视频表示，2009-2012，子课题负责人
8)国家自然科学基金委面上项目，基于局部视觉模型的图像识别研究 ，2008-2010，课题负责人

学科类别:

所属部门:
智能信息处理重点实验室
专家类别:
正高
****入选时间:

百人入选时间:

其他备注:
博导计算机应用技术
其他备注2:

其他备注3: