Title of Presentation

“Seeing More with Computers”

Armed with technical tools mainly in machine learning and optics, our laboratory focuses on realizing computational visual intelligence that goes beyond the limits of human visual perception. In this talk, I will discuss our approach towards making computers see what humans implicitly perceive or what even humans cannot see by introducing our recent work on recognizing materials and their properties from images, appearance modeling of absorption, scattering, and reflection by water, and visual understanding of crowds.

Profile

Web Site URL

http://vision.ist.i.kyoto-u.ac.jp/

A brief Biography(As of April 1, 2019)

1997	B.E. in Information and Communication Engineering (ECE), Faculty of Engineering, University of Tokyo
1999	M.E. in Information and Communication Engineering (ECE), Graduate School of Engineering, University of Tokyo
2002	Ph.D. in Computer Science, Graduate School of Science, University of Tokyo
2002 – 2005	Postdoctoral Research Scientist, Department of Computer Science, Columbia University
2013	Visiting Associate Professor, Robotics Institute, Carnegie Mellon University
2012 – 2018	Visiting Professor, Institute of Scientific and Industrial Research, Osaka University
2005 – 2018	Professor, Department of Computer Science, Drexel University
2015 – Present	Visiting Professor, National Institute of Informatics
2014 – Present	Computer and Information Science Department, University of Pennsylvania
2018 – Present	Professor, Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University

Details of selected Awards and Honors

2008	National Science Foundation, CAREER Award

A list of selected 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.

Ko Nishino, Art Subpa-asa, Yuta Asano, Mihoko Shimano, and Imari Sato, “Variable Ring Light Imaging Capturing Transient Subsurface Scattering with An Ordinary Camera,” Proc. of European Conference on Computer Vision (ECCV ’18), Sep., 2018.

Geoffrey Oxholm and Ko Nishino, “Shape and Reflectance Estimation in the Wild,” IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 38, No. 2, pp376–389, Feb., 2016.

Stephen Lombardi and Ko Nishino, “Reflectance and Illumination Recovery in the Wild,” IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 38, No. 1, pp129–141, Jan., 2016.

Prabin Bariya, John Novatnack, Gabriel Schwartz, and Ko Nishino, “3D Geometric Scale Variability in Range Images: Features and Descriptors,” Int’l Journal of Computer Vision, Vol. 99, No. 2, pp232–255, Sept., 2012.

Ko Nishino, Louis Kratz, and Stephen Lombardi, “Bayesian Defogging,” Int’l Journal of Computer Vision, Vol. 98, No. 3, pp263–278, Jul., 2012.

Geoffrey Oxholm and Ko Nishino, “A Flexible Approach to Reassembling Thin Objects of Unknown Geometry,” Journal of Cultural Heritage, Vol. 14, No. 1, Jan.–Feb., 2013.

Louis Kratz and Ko Nishino, “Tracking Pedestrians using Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes,” IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 34, No. 5, pp987–1002, May, 2012.