Welcome to Satoshi Ikehata's Home Page

Satoshi Ikehata, PhD
Assistant Proffesor in National Institute of Informatics
Address: 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430
E-mail: sikehata@nii.ac.jp
(curriculum vitae)

 

 

About me

- From June 2014 to November 2016, I was a post-doc researcher in Washington University in St. Louis and worked with Dr. Yasutaka Furukawa.

- I got my Ph. D in 2014 and MS in 2011 in University of tokyo under the supervision of Prof. Kiyoharu Aizawa.

- I got my BA of Psychology from the University of Tokyo in 2009 under the supervision of Prof. Takao Sato.

- I worked for Visual Computing Group at Microsoft Research Asia as a visiting student in 2011, supervised by Dr. Yasuyuki Matsushita.

NEWS

8/2018 Source code of ECCV2018 work is now available.
7/2014 Project page of ICCV2015 work is now available.
7/2014 Souce code of our TPAMI2014 work is now available.
7/2014 Souce code of our CVPR2014 work is now available.
7/2012 Souce code of our CVPR2012 work is now available.
3/2012 Open a new home page.

Class (SOKENDAI)

Fall 2018: Fundamentals of Media Processing.

Research Interests

3D Scene Reconstruction, Time-of-flight Imaging, Image Super-resolution, Virtual and Augmented Reality, Human Cognition and Perception

Selected Papers

CNN-PS: CNN-based Photometricc Stereo for General Non-Convex Surfaces.
Satoshi Ikehata. In proceedings of European Conference on Computer Vision (ECCV), 2018 (paper, supplementary, codes (github)).
Efficiency-enhanced cost-volume filtering featuring coarse-to-fine strategy.
Ryosuke Furuta, Satoshi Ikehata, Toshihiko Yamaskai, Kiyoharu Aizawa. Multimedia Tools Appl. 77(10): 12469-12491, 2018 (paper).
Scale Drift Correction of Camera Geo-Localization using Geo-Tagged Images
Kazuya Iwami, Satoshi Ikehata, Kiyoharu Aizawa. 6th Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving (ECCV2018 Workshop), 2018 (preprint).
From Bayesian Sparsity to Gated Recurrent Nets
Hao He, Bo Xin, Satoshi Ikehata, David P. Wipf. In proceedings of Neural Information Processing Systems(NIPS), 2017 (accepted as an oral presentation, 1.20%): 5560-5570, 2017 (NIPS proceedings).
Panoramic Structure from Motion via Geometric Relationship Detection
Satoshi Ikehata, Ivaylo Boyadzhiev, Qi Shan, Yasutaka Furukawa. CoRR abs/1612.01256, 2016 (arXiv paper).
Structured Indoor Modeling
Satoshi Ikehata, Hang Yan and Yasutaka Furukawa. In proceedings of IEEE International Conference on Computer Vision (ICCV), 2015 (accepted as an oral presentation, 3.30%) (project page).
Coarse-to-Fine Strategy for Efficient Cost-Volume Filtering
Ryosuke Furuta, Satoshi Ikehata, Toshihiko Yamasaki and Kiyoharu Aizawa. In proceedings of IEEE International Conference on Image Procession(ICIP), 2014 (paper).
Photometric Stereo using Constrained Bivariate Regression for General Isotropic Surfaces
Satoshi Ikehata and Kiyoharu Aizawa. In proceedings of Computer Vision and Pattern Recognition (CVPR), 2014 (accepted as an oral presentation, 5.76%) (paper, supplementary, source codes).
Photometric Stereo using Sparse Bayesian Regression for General Diffuse Surfaces
Satoshi Ikehata, David Wipf, Yasuyuki Matsushita and Kiyoharu Aizawa. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014 (source codes).
Depth Map Inpainting and Super-Resolution based on Internal Statistics of Geometry and Appearance
Satoshi Ikehata, Ji-Ho Cho and Kiyoharu Aizawa. In proceedings of IEEE International Conference on Image Procession(ICIP), 2013, (pdf).
Depth Map Upsampling using Cost-Volume Filtering
Ji-Ho Cho, Satoshi Ikehata, Hyunjin Yoo, Margrit Gelautz and Kiyoharu Aizawa. In proceedings of 11th IEEE IVMSP Workshop: 3D Image/Video Technologies and Applications, 2013, (pdf).
Confidence-based Refinement of Corrupted Depth Maps
Satoshi Ikehata and Kiyoharu Aizawa. In proceedings of Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012, (pdf).
Robust Photometric Stereo using Sparse Regression
Satoshi Ikehata, David Wipf, Yasuyuki Matsushita, and Kiyoharu Aizawa. In proceedings of Computer Vision and Pattern Recognition (CVPR), 2012, (pdf, supplementary, codes).