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Ko Nishino

Professor & Associate Department Head for Graduate Affairs

Computer Science

Dr. Nishino is an Professor of Computer Science at Drexel University. Prior to joining Drexel in fall 2005, Dr. Nishino was a postdoctoral research scientist at Columbia University. He received all his degrees from The University of Tokyo: both B.E. and M.E. in Information and Communication Engineering in 1997 and 1999, respectively, and Ph.D. in Information Science in 2002. Dr. Nishino's research interests lie primarily in computer vision, specifically in developing novel models and computational algorithms to better extract, understand, and regenerate visual information from photographs and videos. To this end, his work's main focus centers on leveraging intrinsic structures of visual data -- the latent structures that can be found in the geometry, radiometry, and motion of real-world scenes that are not necessarily apparent to the naked eye.

Education

  • Ph.D. in Computer Science, Graduate School of Science, The University of Tokyo, 2002
  • M.S. in Information and Communication Engineering, Graduate School of Engineering, The University of Tokyo, 1999
  • B.S. in Information and Communication Engineering, Faculty of Engineering, The University of Tokyo, 1997

Research/Teaching Interests

Computer vision, computer graphics, analysis and synthesis of visual appearance

Select Publications

  • "Modeling, Simulation and Visual Analysis of Crowds: A Multidisciplinary Perspective," S. Ali, K. Nishino, D. Manocha, and M. Shah, Eds., ISBN 978-1461484820, Springer, 2013.
  • "3D Geometric Scale Variability in Range Images: Features and Descriptors," P. Bariya, J. Novatnack, G. Schwartz, and K. Nishino, in Int'l Journal of Computer Vision, vol. 99, no. 2, pp232-255, Sept., 2012.
  • "Multiview Shape and Reflectance from Natural Illumination," G. Oxholm and K. Nishino, in Proc. of IEEE International Conference on Computer Vision and Pattern Recognition CVPR'14, Jun., 2014.
  • "Visual Material Traits: Recognizing Per-Pixel Material Context," G. Schwartz and K. Nishino, in Proc. of Color and Photometry in Computer Vision (Workshop held in conjunction with ICCV'13), Dec., 2013.
  • "Reflectance and Natural Illumination from a Single Image," S. Lombardi and K. Nishino, in Proc. of European Conference on Computer Vision ECCV'12, Part VI, pp582-595, Oct., 2012.
  • "Tracking Pedestrians using Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes," L. Kratz and K. Nishino, in IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 34, no. 5, pp987-1002, May, 2012.
  • "A Flexible Approach to Reassembling Thin Objects of Unknown Geometry," G. Oxholm and K. Nishino, to appear in Journal of Cultural Heritage, vol. 14, no. 1, pp51-61, 2012.
  • "Directional Statistics-based Reflectance Model for Isotropic Bidirectional Reflectance Distribution Functions," K. Nishino and S. Lombardi, in OSA Journal of Optical Society of America A, vol.28, no.1, pp8-18, Jan., 2011.
  • "Corneal Imaging System: Environment from Eyes," K. Nishino and S.K. Nayar, in Int'l Journal of Computer Vision, Special Issue of Best papers in CVPR 2004, vol.70, no.1, pp23-40, Oct., 2006.
  • "Eyes for Relighting," K. Nishino and S.K. Nayar, in ACM Trans. on Graphics (also Proc. of ACM SIGGRAPH 2004), vol.23, no.3, pp704-711, Jul., 2004.
  • "Eigen-Texture Method: Appearance Compression and Synthesis based on a 3D Model," K. Nishino, Y. Sato and K. Ikeuchi, in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, no.11, pp1257-1265, Nov., 2001.

Grant Awards

  • Office of Naval Research, "Visual Material Understanding," PI, 2014-2017.
  • National Science Foundation, "EAGER: A Local-Global Approach Towards Omnipresent Vision," PI, 2013-2015.
  • Office of Naval Research, "Physically-based Statistical Approaches to Radiometric Scene Understanding," PI, 2010-2013.
  • National Science Foundation, "RI: Medium: Collaborative Research: Recognition of Materials," PI, 2010-2015.
  • National Science Foundation, "CAREER: Scale Variability of 3D Geometry for Computer Vision," PI, 2008-2014.
  • National Science Foundation, "The 3D Colonial Philadelphia Project – Digital Restoration of Thin-shell Objects for Historical Archaeological Artifact Analysis and Interpretation," co-PI,2008-2012.
  • Nippon Telegraph and Telephone Corporation, "Detecting Atypical Events in Videos of Extremely Cluttered Scenes," PI, 2006-2007. 

Awards & Recognition

  • Outstanding Review Award, IEEE Conference on Computer Vision and Pattern Recognition, 2013 and 2014.
  • Best Paper Award, Meeting on Image Recognition and Understanding, 2011.
  • Second Place, Mentor of the Year Award, Graduate Student Association, Drexel University, 2009
  • CAREER Award, National Science Foundation, 2008
  • Outstanding Review Award, IEEE International Conference on Computer Vision, 2008.
  • Two Best Paper Awards, Meeting on Image Recognition and Understanding, 2002.
  • Best Paper Award, International Society on Virtual Systems and Multimedia, 2000.
  • Best Paper Award, The Virtual Reality Society of Japan, 1999. 

Professional Activities & Associations

  • International Journal of Computer Vision, Springer, Editorial Board
  • Machine Vision and Applications, Springer, Editorial Board
  • IEEE/RSJ International Conference on Intelligent Robots and Systems, Associate Editor
  • Encyclopedia of Computer Vision, Springer, Editor
  • Member, ACM and IEEE