2004.3-2005.12 中科院自动化所 模式识别国家重点实验室 博士后
2005.12-2010.6 中科院自动化所 模式识别国家重点实验室 副研究员，硕导
2010.7- 2011.10 中科院自动化所 模式识别国家重点实验室 副研究员、博导
2011.11-至今  中科院自动化所 模式识别国家重点实验室 研究员、博导
2013.7-2018.5 中科院自动化所 智能感知与计算中心 副主任 研究员、博导
2018.5-至今  中科院自动化所 智能系统与工程研究中心 主任 研究员、博导

计算机视觉; 模式识别; 人机对抗：认知决策理论、模型及对抗性游戏模型设计 视觉监控应用: 物体检测,跟踪,分类识别以及行为理解关键技术。

视频内容理解与分析，主持，国家自然科学优青，2014.1-2016.12
基于视觉认知的视频目标分类和识别，主持，国家级，2009-01--2011-12
视觉认知理论研究，主持，国家级，2008-07--2011-12
国家863项目 面向增强现实的多特征融合的视频目标跟踪  负责人
中科院知识创新工程重点项目 面向家居的智能视频监控系统  负责人
国家重点实验室专项基金 面向视觉感知的图像理解  负责人
973项目 数字内容理解  主要参与
国家基金重点项目 动态图像语义理解  主要参与

[1] 黄凯奇, 兴军亮, 张俊格, 倪晚成, 人机对抗智能技术，中国科学：信息科学, 2020,50(4):540-550
[2] 黄凯奇，陈晓棠，康运锋，谭铁牛,智能视频监控技术综述，计算机学报, Vol.38(6),pp:1093-1118,2015
[3] 黄凯奇，任伟强，谭铁牛, 图像物体分类与检测算法综述;，计算机学报，37(6),pp:1-18,2014,(PPT)
[4] 黄凯奇，谭铁牛, 视觉认知计算模型综述;，模式识别与人工智能，26(10),pp:951-958, 2013
[5] K. Huang, C. Wang, D. Tao,"High-Order Topology Modeling of Visual Words for Image Classification". IEEE Trans. Image Processing (TIP) 24(11): 3598-3608, 2015
[6] K. Huang, Y.Zhang, T.Tan, "A Discriminative Model of Motion and Cross Ratio for View-invariant Action Recognition", IEEE Transactions on Image Processing (TIP), 21(5):2187-2197, 2012
[7]K. Huang, D.Tao, X.Li, T.Tan,"Biologically Inspired Features for Scene Classification in Video Surveillance", IEEE Transactions on Systems, Man and Cybernetics, Part: B. (T-SMC-B), 41(1), pp: 307-313, Feb. 2011.
[8] K. Huang, D.Tao, X.Li, T.Tan. “View Independent Human Behavior Analysis”, IEEE Transactions on Systems, Man and Cybernetics, Part: B. (T-SMC-B), vol. 39, no. 4, pp: 1028-1035, August 2009.
[9] K. Huang, S. Wang, T. Tan, S.J.Maybank,"Human Behavior Analysis Based on a New Motion Descriptor", IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT).vol.19, no.2, pp:1830-1840, 2009
[10]K. Huang, L.Wang, T.Tan, S.J.Maybank,"A Real-time Detecting Tracking Distant Objects System for Night Surveillance", Pattern Recognition (PR), Volume 41, Issue 1, pp: 432-444, 2008   (video 夜间视频)
[11] K. Huang, T. Tan, "Vs-Star: a Visual Interpretation System for Visual Surveillance", Pattern Recognition Letters (PRL), V. 31, Issue 14(15), Pp: 2265-2285, 2010
[12] K. Huang, Q.Wang, Z.Wu."Natural Color Image Enhancement Evaluation Algorithm based on Human Visual System", Computer Vision and Image Understanding (CVIU), 103, pp: 52-63, 2006.
[13] K. Huang, Q.Wang, Z.Wu,"Color Image Denoising with Wavelet Thresholding based on Human Visual System Model", Signal Processing: Image Communication(SP:IC), Vol. 20 ( 2). pp: 115-127, 2005.
[14] K. Huang, Q.Wang, Z.Wu,"Image Enhancement based on the Statistics of Visual Representation", Image and Vision Computing (IVC), V.23, pp: 51-57,2005
[15] W. Ren, K. Huang, D. Tao, T. Tan"Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting." IEEE Trans. Pattern Anal. Mach. Intell (TPAMI). 38(2): 405-416, 2016                    
[16] C.Wang, K.Huang, "How to use Bag-of-Words model better for image classification", Image and Vision Computing (IVC), V.38, June, Pages 65-74, 2015                                                                              
[17] Y. Cheng, X. Zhao, K.Huang, T. Tan, "Semi-supervised learning and feature evaluation for RGBD object recognition",Computer Vision and Image Understanding(CVIU), Volume 139, October, Pages 149-160,2015        
[18] C. Wang, K. Huang, W. Ren, J. Zhang, S. Maybank, &ldquo"Large-Scale Weakly Supervised Object Localization via Latent Category Learning.&ldquo" IEEE Trans. Image Processing(TIP) 24(4): 1371-1385, 2015                                    
[19] Z. Zhang, T. Tan, K. Huang, "An Extended Grammar System for Learning and Recognizing Complex Visual Events", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), V.33 (2),Pp: 240-255,2011
[20] Z. Liu, K. Huang, T.Tan, "Cast Shadow Removal Using MRF Based on Hierarchical Information", IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 22(1),pp,56-66,2012

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