S. Kevin Zhou

Email: s.kevin.zhou AT gmail.com
Web:  http://www.cfar.umd.edu/~shaohua/


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Kevin's Publications


Books

My edited book entitled "Analysis and Modeling of Faces and Gestures", a proceeding for an international workshop, has been published by Springer as LNCS 4778.
My book entitled "Unconstrained Face Recognition" has been published by Springer as a part of the International Series on Biometrics. ISBN: 0-387-26407-8.
My book entitled "Recognition of Humans and Their Activities Using Video" has been published by Morgan & Claypool Publishers as a part of the Synthesis Lectures on Image, Video, and Multimedia Processing. ISBN: 1598290061.
 

Papers (listed in a reverse chronological order)

Most representative

  • S. Kevin Zhou, V. Krueger, and R. Chellappa. Probabilistic recognition of human faces from video. Computer Vision and Image Understanding (CVIU)  (special issue on Face Recognition), Vol. 91, pp. 214-245, 2003.
    [Comment]: The first approach in the literature that systematically investigates the role of temporal information in vide-based face recognition.
    [Journal paper]: [html] - [pdf] - [ps]
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  • S. Kevin Zhou, R. Chellappa, and B. Moghaddam. Visual tracking and recognition using appearance-adaptive models in particle filters. IEEE Transactions on Image Processing (TIP), Vol. 11, pp. 1434-1456, November 2004.
    [Comment]: Demonstrates the importance of adaptive models to abrupt appearance changes, both the state-transition and observation models in visual tracking.
    [Journal paper]: [html] - [pdf] -[ps] -
    [doc] - [ppt]
     
  • S. Kevin Zhou, B. Georgescu, X. Sean Zhou, and D. Comaniciu. Image based regression using boosting method. IEEE International Conference on Computer Vision (ICCV), Beijing, China, October 2005.
    [Comment]: A recipe of learning a nonlinear multivariate multiple regression function via image feature selection using boosting.
    [Conference paper]: [html] - [pdf] - [ps]
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  • S. Kevin Zhou and R. Chellappa. From sample similarity to ensemble similarity: Probabilistic distance measures in reproducing kernel Hilbert space. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 28. No. 6, pp. 917-929, June 2006.
    [Comment]: A simple yet powerful machine learning approach
    that addresses the similarity between two sets or ensembles using kernel method.
    [Journal paper]: [html] - [pdf] - [ps] - [doc] - [ppt]
     
  • S. Kevin Zhou, J. Shao, B. Georgescu, and D. Comaniciu. BoostMotion: Boosting a discriminative similarity function for motion estimation. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), New York City, June 2006.
    [Comment]: Learning a discriminative similarity function that matches two images.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • S. Kevin Zhou, G. Aggarwal, R. Chellappa, and D. Jacobs. Appearance characterization of linear Lambertian objects, generalized photometric stereo and illumination-invariant face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 29. No. 2, pp. 230-245, February 2007.
    [Comment]: 99.1% recognition accuracy on the PIE database (the illumination variation part).
    [Journal paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • S. Kevin Zhou and D. Comaniciu. Shape regression machine. Information Processing in Medical Imaging (IPMI), The Netherlands, July 2007.
    [Comment]: How regression can be invoked to solve shape detection and segmentation? 112ms for a fully automatic segmentation of left ventricle from echocardiogram.
    [Conference paper]: [html] - [pdf] - [ps]
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  • S. Kevin Zhou, F. Guo, J.H. Park, G. Carneiro, J. Jackson, M. Brendel, C. Simopoulos, J. Otsuki, and D. Comaniciu. A probabilistic, hierarchical, and discriminant (PHD) framework for rapid and accurate detection of deformable anatomic structure. International Conference on Computer Vision (ICCV), Rio de Janeiro, October 2007.
    [Comment]: A nicely-crafted, discriminative algorithm for fast and accurate detection of deformable structure.
    [Conference paper]: [html] - [pdf] - [ps]
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  • J. Zhang, S. Kevin Zhou, D. Comaniciu, and L. McMillan. Discriminative learning for deformable shape segmentation: A comparative study. European Conference on Computer Vision (ECCV), Marsheille, France, October 2008.
    [Comment]: Formulates deformable shape segmentation as a pure discriminative learning problem and compares classification, ranking, and regression.
    [Conference paper]: [html] - [pdf] - [ps]
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  • S. Feng, S. Kevin Zhou, S. Good, and D. Comaniciu. Automatic Fetal Face Detection From Ultrasound Volumes Via Learning 3D and 2D Information.  IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, June 2009.
    [Comment]: The first application of fast detection of fetal face from 3D ultrasonography.
    [Conference paper]: [html] - [pdf] - [ps]
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Year 2009

  • B. Tunc, S. Kevin Zhou, J.H.Park, and M. Gokmen. Context ranking machine and its application to rigid localization of deformable objects. International Conference on Image Processing (ICIP), Cairo, Egypt, November 2009.
    [Conference paper]: [html] - [pdf] - [ps]
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  • T. Chen, W. Zhang, S. Good, S. Kevin Zhou, and D. Comaniciu. Automatic follicle quantification from 3D ultrasound data using global/local context with database guided segmentation. International Conference on Computer Vision (ICCV)}, Kyoto, Japan, October 2009.
    [Conference paper]: [html] - [pdf] - [ps]
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  • A. Tsymbal, M. Huber, and S. Kevin Zhou. Neighborhood graph and learning discriminative distance functions for clinical decision support. International Conference on IEEE Engineering in Medicine and Biology Society (EMBS), Minneapolis, Minnesota, September 2009.
    [Conference paper]: [html] - [pdf] - [ps]
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  • S.H. Yang, H. Zha, S. Kevin Zhou, and B.G. Hu. Variational nonparametric graph embedding for globally and locally consistent feature extraction. European Conference on Machine Learning (ECML), Bled, Slovenia, September 2009.
    [Conference paper]: [html] - [pdf] - [ps]
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  •  J. Feulner, S. Kevin Zhou, A. Cavallaro, S. Seifert, J. Hornegger, and D. Comaniciu. Fast automatic segmentation of the esophagus from 3D CT data using a probabilistic model. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), London, UK, September 2009.
    [Conference paper]: [html] - [pdf] - [ps]
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  • W. Zhang, H. Ling, S. Prummer, S. Kevin Zhou, M. Ostermeier, and D. Comaniciu. Coronary tree extraction using motion layer separation. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)}, London, UK, September 2009.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     

  • S. Feng, S. Kevin Zhou, S. Good, and D. Comaniciu. Automatic Fetal Face Detection From Ultrasound Volumes Via Learning 3D and 2D Information.  IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, June 2009.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     

  • R. Li, R. Chellappa, and S. Kevin Zhou. Learning Multi-modal densities on Discriminative Temporal Interaction Manifold for Group Activity Recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, June 2009.
    [Conference paper]: [html] - [pdf] - [ps]
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  • P. Wang, T. Chen, Y. Zhu, W. Zhang, S. Kevin Zhou, and D. Comaniciu. Robust Guidewire Tracking in Fluoroscopy. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, June 2009.
    [Conference paper]: [html] - [pdf] - [ps]
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  • Y. Zheng, B. Georgescu, H. Ling, S. Kevin Zhou, M. Scheuering, D. Comaniciu. Constrained Marginal Space Learning for Efficient 3D Anatomical Structure Detection in Medical Images. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, June 2009.
    [Conference paper]: [html] - [pdf] - [ps]
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  • S. Seifert, A. Barbu, S. Kevin Zhou, D. Liu, J. Feulner, M. Huber, M. Shling, A. Cavallaro, and D. Comaniciu. Hierarchical parsing and semantic navigation of full body CT data. SPIE Medical Imaging, Lake Buena Vista, Florida, February 2009.
    [Conference paper]: [html] - [pdf] - [ps]
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  • J. Feulner, S. Kevin Zhou, S. Seifert, A. Cavallaro, J. Hornegger, and D. Comaniciu. Estimating the body portion of CT volumes by matching histograms of visual words. SPIE Medical Imaging, Lake Buena Vista, Florida, February 2009.
    [Conference paper]: [html] - [pdf] - [ps]
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  • R. Ionasec, A. Tsymbal, D. Vitanovski, B. Georgescu, S. Kevin Zhou, N. Navab, and D. Comaniciu. Shape-based diagnosis of the aortic valve. SPIE Medical Imaging, Lake Buena Vista, Florida, February 2009.
    [Conference paper]: [html] - [pdf] - [ps]
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  • S. Kevin Zhou, J. Shao, B. Georgescu, and D. Comaniciu. Similarity learning for motion estimation. Semantic Mining Technologies for Multimedia Database, D. Tao, D. Xu, and X. Li (Eds.), IGI Publishing, 2009.
    [Book chapter]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     

  • J. Li, S. Kevin Zhou, and R. Chellappa. Appearance modeling using a geometric transform. IEEE Transactions on Image Processing, Vol. 18, No. 4, pp 889 - 902, 2009.
    [Journal paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     

Year 2008

  • J. Zhang, S. Kevin Zhou, D. Comaniciu, and L. McMillan. Discriminative learning for deformable shape segmentation: A comparative study. European Conference on Computer Vision (ECCV), Marsheille, France, October 2008.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • J.H. Park, S. Kevin Zhou, C. Simopoulos, and D. Comaniciu. AutoGate: Fast and automatic Doppler gate localization in B-mode echocardiogram. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), New York City, September 2008.
    [Conference paper]: [html] - [pdf] - [ps]
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  • J.H. Park, S. Kevin Zhou, J. Jackson, and D. Comaniciu. Automatic mitral valve inflow measurements from Doppler echocardiography. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), New York City, September 2008.
    [Conference paper]: [html] - [pdf] - [ps]
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  • H. Ling, S. Kevin Zhou, Y. Zheng, B. Georgescu, M. Suehling, and D. Comaniciu. Hierarchical, learning-based automatic liver segmentation. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, June 2008.
    [Conference paper]: [html] - [pdf] - [ps]
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  • J. Zhang, S. Kevin Zhou, D. Comaniciu, and L. McMillan. Conditional density learning via regression with application to deformable shape segmentation. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, June 2008.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • S. Kevin Zhou, R. Chellappa, and G. Aggarwal. Face tracking and recognition from video. The Essential Guide to Video Processing, A. Bovic (Ed.), Academic Press. (in press)
    [Book chapter]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • S. Kevin Zhou, R. Chellappa, and R. Ramanathan. Unconstrained face recognition from still image. The Essential Guide to Image Processing, A. Bovic (Ed.), Academic Press. (in press)
    [Book chapter]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • S. Kevin Zhou, R. Chellappa, Z. Yue, and B. Moghaddam. Appearance modeling for visual tracking. USTC 50th Golden Anniversary Book: Computer Vision, J. Luo and X. Tang (Eds.), USTC Press. (in press)
    [Book chapter]: [html] - [pdf] - [ps]
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Year 2007

  • S. Kevin Zhou, W. Zhao, X. Tang, and S. Gong (Eds.). Analysis and modeling of faces and gestures. Springer, LNCS 4778, 2007.
    [Edited book]: [html] - [pdf] - [ps] - [doc] - [ppt]
     
  • S. Kevin Zhou, F. Guo, J.H. Park, G. Carneiro, J. Jackson, M. Brendel, C. Simopoulos, J. Otsuki, and D. Comaniciu. A probabilistic, hierarchical, and discriminant (PHD) framework for rapid and accurate detection of deformable anatomic structure. International Conference on Computer Vision (ICCV), Rio de Janeiro, October 2007.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • J.H. Park, S. Kevin Zhou, C. Simopoulos, J. Otsuki, and D. Comaniciu. Automatic cardiac view classification of echocardiogram. International Conference on Computer Vision (ICCV), Rio de Janeiro, October 2007.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • H. Wu, R. Chellappa, and A. Sankaranarayanan and S. Kevin Zhou. Robust visual tracking using the time-reversibility constraint. International Conference on Computer Vision (ICCV), Rio de Janeiro, October 2007.
    [Conference paper]: [html] - [pdf] - [ps]
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  • A. Tsymbal, M. Huber, S. Zillner, T. Hauer, and S. Kevin Zhou. Visualing patient similarity in clinical decision support. International Workshop on Knowledge and Experience Management (FGWM), 2007.
    [Workshop paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • S. Kevin Zhou and D. Comaniciu. Shape regression machine. Information Processing in Medical Imaging (IPMI), The Netherlands, July 2007.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • S. Kevin Zhou, J. Zhou, and D. Comaniciu. A boosting regression approach to medical anatomy detection. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, Minnesota, June 2007.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • J. Zhang, S. Kevin Zhou, L. McMillan and D. Comaniciu. Joint real-time object detection and pose estimation using probabilistic boosting network. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, Minnesota, June 2007.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • X. Mei, S. Kevin Zhou, and F. Porikli. Probabilistic visual tracking via robust template matching and incremental subspace update. IEEE International Conference on Multimedia and Expo (ICME), Beijing, China, 2007.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • S. Kevin Zhou, G. Aggarwal, R. Chellappa, and D. Jacobs. Appearance characterization of linear Lambertian objects, generalized photometric stereo and illumination-invariant face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 29. No. 2, pp. 230-245, February 2007.
    [Journal paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • X. Mei, S. Kevin Zhou, H. Wu, F. Porikli. Integrated Detection, Tracking and Recognition for IR Video-based Vehicle Classification. Journal of Computers, Vol. 2, No. 6, pp. 1-8, 2007.
    [Journal paper]: [html] - [pdf] - [ps]
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Year 2006

  • S. Kevin Zhou, R. Chellappa and W. Zhao. Unconstrained face recognition. Springer, 2006. (ISBN: 0-387-26407-8)
    [Research monograph]: [html] - [pdf] - [ps] - [doc] - [ppt]
     
  • V. Krueger, S. Kevin Zhou, and R. Chellappa. Integrating video information over time. Example: Face recognition from video. Cognitive Vision Systems: Sampling the Spectrum of Approaches, H.I. Christensen, H. Nagel (Eds.), Springer Berlin/Heidenlberg, 2006.
    [Book chapter]: [html] - [pdf] - [ps] - [doc] - [ppt]

     
  • S. Kevin Zhou and R. Chellappa. From sample similarity to ensemble similarity: Probabilistic distance measures in reproducing kernel Hilbert space. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 28. No. 6, pp. 917-929, June 2006.
    [Journal paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • S. Kevin Zhou, J. Shao, B. Georgescu, and D. Comaniciu. Pairwise active appearance model and it application to echocardiography tracking. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Copenhagen, Denmark, October 2006.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • S. Kevin Zhou, J. Shao, B. Georgescu, and D. Comaniciu. BoostMotion: Boosting a discriminative similarity function for motion estimation. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), New York City, June 2006.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • S. Kevin Zhou, J.H. Park, B. Georgescu, C. Simopoulos, J. Otsuki, and D. Comaniciu. Image-based multiclass boosting and echocardiographic view classification. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), New York City, June 2006.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • Y. Zheng, X. Zhou, B. Georgescu, S. Kevin Zhou and D. Comaniciu. Example-based non-rigid shape detection. European Conference on Computer Vision (ECCV), Graz, Austria, May 2006.
    [Conference paper]: [html] - [pdf] - [ps]
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  • X. Mei, S. Kevin Zhou and H. Wu. Integrated detection, tracking, and recognition for IR video-based vehicle classification. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May 2006.
    [Conference paper]: [html] - [pdf] - [ps]
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Year 2005

  • R. Chellappa, A. Roy-Chowdhury, and S. Kevin Zhou. Recognition of humans and their activities using videos. Morgan & Claypool Publishers, 2005. (ISBN: 1598290061)
    [Research monograph]: [html] - [pdf] - [ps] - [doc] - [ppt]
     
  • S. Kevin Zhou and R. Chellappa. Beyond a single still image: Face recognition from multiple still images and videos. Face Processing: Advanced Modeling and Methods, W. Zhao and R. Chellappa (Eds.), Academic Press, 2005.
    [Book chapter]: [html] - [pdf] - [ps] - [doc]
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  • R. Chellappa, A. Roy Chowdhury, and S. Kevin Zhou. Human Identification using gait and face. The Electrical Engineering Handbook, 3rd Edition, M. Delores (Ed.), CRC Press, 2005. (To appear)
    [Book chapter]: [html] - [pdf] - [ps] - [doc]
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  • S. Kevin Zhou and R. Chellappa. Face recognition from still images and videos. Handbook of Image and Video Processing, 2nd Edition, A. Bovik (Ed.), Academic Press, 2005.
    [Book chapter]: [html] - [pdf] - [ps] - [doc]
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  • S. Kevin Zhou and R. Chellappa. Image-based face recognition under illumination and pose variations. Journal of the Optical Society of America (JOSA), A,Vol. 22, pp. 217-229, February 2005.
    [Journal paper]: [html] - [pdf] - [ps]
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  • S. Kevin Zhou, B. Georgescu, X. Sean Zhou, and D. Comaniciu. Image based regression using boosting method. IEEE International Conference on Computer Vision (ICCV), Beijing, China, October 2005.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • J. Li, S. Kevin Zhou, and R. Chellappa. Appearance modeling under geometric context. IEEE International Conference on Computer Vision (ICCV), Beijing, China, October 2005.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • S. Kevin Zhou. A binary decision tree implementation of a boosted strong classifier. IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG), Beijing, China, October 2005.
    [Workshop paper]: [html] - [pdf] - [ps] - [doc]
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  • S. Kevin Zhou. Matrix-based kernel subspace methods. SCR Technical Report SCR-05-TR-773.
    [Technical report]: [html] - [pdf] - [ps]
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  • J. Shao, S. Kevin Zhou, and R. Chellappa. Tracking algorithm using background-foreground motion models and multiple cues. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Philadelphia, USA, March 2005. 
    [Conference paper]: [html] - [pdf] - [ps]
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  • M. Ramachandran, S. Kevin Zhou, D. Jhalani, and R. Chellappa. A method for converting smiling face to a neutral face with applications to face recognition. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Philadelphia, USA, March 2005.
    [Conference paper]: [html] - [pdf] - [ps]
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  • X. Mei, M. Ramachandran, and S. Kevin Zhou. Video background retrieval using mosaic images. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Philadelphia, USA, March 2005.
    [Conference paper]: [html] - [pdf] - [ps]
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Year 2004

  • S. Kevin Zhou. Unconstrained Face Recognition. Ph.D. Dissertation, University of Maryland, 2004.
    [Ph.D. Dissertation]: [html] - [pdf] - [ps] - [doc]
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  • R. Chellappa and S. Kevin Zhou. Face tracking and recognition from video. Handbook of Face Recognition, S. Li and A. K. Jain (Eds.), Springer, 2004.
    [Book chapter]: [html
    ] - [pdf] - [ps] - [doc] - [ppt]
     
  • S. Kevin Zhou, R. Chellappa, and B. Moghaddam. Visual tracking and recognition using appearance-adaptive models in particle filters. IEEE Transactions on Image Processing (TIP), Vol. 11, pp. 1434-1456, November 2004.
    [Journal paper]: [html] - [pdf] -[ps] -
    [doc] - [ppt]
     
  • S. Kevin Zhou. Face recognition using more than one image: What is more? Sinobiometrics, Guangzhou, China, December 2004.
    [Conference paper]: [html] - [pdf] - [ps] - [doc]
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  • J. Shao, S. Kevin Zhou, and R. Chellappa. Simultaneous background and foreground modeling for tracking in surveillance video. International Conference on Image Processing (ICIP), Singapore, October 2004.
    [Conference paper]: [html] - [pdf] - [ps] - [doc]
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  • S. Kevin Zhou and R. Chellappa. Multiple-exemplar discriminant analysis for face recognition. International Conference on Pattern Recognition (ICPR), Cambridge, UK, August 2004.
    [Conference paper]: [html] - [pdf] - [ps]
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  • J. Shao, S. Kevin Zhou, and Q. Zheng. Robust appearance-based tracking of moving object from moving platform. International Conference on Pattern Recognition (ICPR), Cambridge, UK, August 2004.
    [Conference paper]: [html] - [pdf] - [ps] - [doc]
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  • S. Kevin Zhou and R. Chellappa. Probabilistic identity characterization for face recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Washington D.C., USA, June 2004.
    [Conference paper]: [html] - [pdf] - [ps]
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  • S. Kevin Zhou and R. Chellappa. Illuminating light field: Image-based face recognition across illuminations and poses. IEEE International Conference on Automatic Face and Gesture Recognition (FGR), Seoul, Korea, May 2004.
    [Conference paper]: [html] - [pdf] - [ps]
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  • S. Kevin Zhou, R. Chellappa, and B. Moghaddam. Intra-personal kernel space for face recognition. IEEE International Conference on Automatic Face and Gesture Recognition (FGR), Seoul, Korea, May 2004.
    [Conference paper]: [html] - [pdf] - [ps]
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  • Z. Yue, S. Kevin Zhou, and R. Chellappa. Robust two-camera visual tracking with homography. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, Canada, May 2004.
    [Conference paper]: [html] - [pdf] - [ps]
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  • J. Shao, S. Kevin Zhou, and R. Chellappa. Appearance-based visual tracking and recognition with trilinear tensor. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, Canada, May 2004.
    [Conference paper]: [html] - [pdf] - [ps]
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  • J. Li and S. Kevin Zhou. Probabilistic face recognition with compressed imagery. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, Canada, May 2004.
    [Conference paper]: [html] - [pdf] - [ps]
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  • S. Kevin Zhou, R. Chellappa and D. Jacobs, Characterization of human faces under illumination variations using rank, integrability, and symmetry constraints. European Conference on Computer Vision (ECCV), Prague, Czech Republic, May 2004.
    [Conference paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • S. Kevin Zhou, R. Chellappa and B. Moghaddam. Appearance tracking using adaptive models in a particle filter. Asian Conference on Computer Vision (ACCV), Jeju Island, Korea, January 2004.
    [Conference paper]: [html] - [pdf] - [ps]
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Year 2003

  • S. Kevin Zhou, V. Krueger, and R. Chellappa. Probabilistic recognition of human faces from video. Computer Vision and Image Understanding (CVIU) (special issue on Face Recognition), Vol. 91, pp. 214-245, 2003.
    [Journal paper]: [html] - [pdf] - [ps]
    - [doc] - [ppt]
     
  • S. Kevin Zhou. Probabilistic analysis of kernel principal components: mixture modeling and classification. CfAR Technical Report, CAR-TR-993, 2003.
    [Technical report]: [html] - [pdf] - [ps] - [doc]
    - [ppt]
     
  • S. Kevin Zhou and R. Chellappa. Rank constrained recognition from unknown illuminations. IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG), Nice, France, October 2003.
    [Workshop paper]: [html] - [pdf] - [ps] - [doc]
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  • S. Kevin Zhou, R. Chellappa and B. Moghaddam. Adaptive visual tracking and recognition using particle filters. IEEE International Conference on Multimedia & Expo (ICME), Baltimore, USA, July 2003.
    [Conference paper]: [html] - [pdf] - [ps] - [doc]
    - [ppt]
     
  • S. Kevin Zhou and R. Chellappa. Simultaneous tracking and recognition of human faces from video. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hongkong, China, April 2003.
    [Conference paper]: [html] - [pdf] - [ps] - [doc]
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  • J. Li, S. Kevin Zhou and C. Shekhar. A comparison of subspace analysis for face recognition. IEEE International Conference on Acoustics, Speech, and Signal Processing  (ICASSP), Hongkong, China, April 2003.
    [Conference paper]: [html] - [pdf] - [ps] - [doc]
    - [ppt]

Year 2002

  • S. Kevin Zhou, V. Krueger, and R. Chellappa. Probabilistic recognition of human faces from video. CfAR Technical Report, CAR-TR-976, 2002.
    [Technical report]: [html] - [pdf] - [ps] - [doc]
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  • S. Kevin Zhou, Y. V. Venkatesh, and C. C. Ko. Synthesis of visual textures and perceptual asymmetry of visual texture perception. International Conference on Control, Automation, Robotics and Vision (ICCARV), Singapore, December 2002.
    [Conference paper]: [html] - [pdf] - [ps] - [doc]
    - [ppt]
     
  • R. Chellappa, V. Krueger, and S. Kevin Zhou. Probabilistic recognition of human faces from video. IEEE International Conference on Image Processing (ICIP), Rochester, New York, USA, September 2002.
    [Conference paper]: [html] - [pdf] - [ps] - [doc]
    - [ppt]
     
  • S. Kevin Zhou and R. Chellappa. A robust algorithm for probabilistic human recognition from video. International Conference on Pattern Recognition (ICPR), Quebec City, Canada, August 2002.
    [Conference paper]: [html] - [pdf] - [ps] - [doc]
    - [ppt]
     
  • V. Krueger and S. Kevin Zhou. Exemplar-based face recognition from video. European Conference on Computer Vision (ECCV), Copenhagen, Denmark, May 2002.
    [Conference paper]: [html] - [pdf] - [ps] - [doc]
    - [ppt]
     
  • S. Kevin Zhou and R. Chellappa. Probabilistic human recognition from video. European Conference on Computer Vision (ECCV), Copenhagen, Denmark, May 2002.
    [Conference paper]: [html] - [pdf] - [ps] - [doc]
    - [ppt]
     
  • R. Chellappa, S. Kevin Zhou and B. Li. Bayesian methods for face recognition from video. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Orlando, Florida, USA, May 2002.
    [Conference paper]: [html] - [pdf] - [ps] - [doc]
    - [ppt]
     
  • S. Kevin Zhou, V. Krueger, and R. Chellappa. Face recognition from video: A condensation approach. IEEE International Conference on Automatic Face and Gesture Recognition (FG), Washington D.C., USA, May 2002.
    [Conference paper]: [html] - [pdf] - [ps] - [doc]
    - [ppt]

Year 2000

  • S. Kevin Zhou. Wavelet-based texture retrieval and modeling visual texture perception. M.E. dissertation, National University of Singapore, 2000.
    [M.E. dissertation]: [html] - [pdf] - [ps] - [doc]
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  • S. Kevin Zhou, Y. V. Venkatesh, and C. C. Ko. Texture retrieval using tree-structured wavelet transform. International Conference on Computer Vision, Pattern Recognition, and Image Processing (CVPRIP), March 2000.
    [Conference paper]: [html] - [pdf] - [ps] - [doc]
    - [ppt]