Welcome to Satoshi Ikehata's Home Page
Satoshi Ikehata, PhD |
Associate Proffesor in National Institute of Informatics (Since 2017) |
Specially Appointed Associate Proffesor at Recognition and Learning Algoritym Laboratory in Tokyo Tech (Since 2023) |
Visiting Researcher at Aizawa-Yamakata-Matsui Lab in UTokyo (Since 2020) |
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
6/2022 | Project website of CVPR2023 work is now available. |
6/2022 | Project website of CVPR2022 work is now available. |
11/2021 | Source code of BMVC2021 work is now available. |
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 2020: 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
Full publication list is available at researchmap.
Gumble-NeRF: Representing Unseen Objects as Part-compositional Neural Radiance Feilds. Yusuke Sekikawa, Chingwei Hsu, Satoshi Ikehata, Rei Kawakami, Ikuro Sato. In proceedings of International Conference on Image Processing (ICIP), 2024. |
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Physics-Free Spectrally Multiplexed Photometric Stereo under Unknown Spectral Composition. Satoshi Ikehata, Yuta Asano. In proceedings of European Conference on Computer Vision (ECCV), 2024 (accepted as an oral presentation). |
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Towards Single-Shot Photometric Stereo through Material Estimation and Relighting. Ashish Tiwari , Satoshi Ikehata, Shanmuganathan Raman. In proceedings of European Conference on Computer Vision (ECCV), 2024. |
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Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes. Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa. In proceedings of CVF/IEEE Computer Vision and Pattern Recognition (CVPR), 2024 (paper (arxiv), website). |
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Field-of-View IoU for Object Detection in 360° Images. Miao Cao, Satoshi Ikehata, Kiyoharu Aizawa. IEEE Transactions on Image Procession (TIP), 2023 (paper). |
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Scalable, Detailed and Mask-free Universal Photometric Stereo Satoshi Ikehata. In proceedings of CVF/IEEE Computer Vision and Pattern Recognition (CVPR), 2023. (accepted as a highlight paper, 2.5%) (paper (arxiv), code (github)) |
Non-uniform Sampling Strategies for NeRF on 360 images | Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa. In proceedings of British Machine Vision Conference (BMVC), 2022. |
Saliency-Based Multiple Region of Interest Detection From a Single 360° Image | Yuki Sawabe, Satoshi Ikehata, Kiyoharu Aizawa. In IEEE Access, vol. 10, pp. 89124-89133, 2022. |
Does Physical Interpretability of Observation Map Improve the Photometric Stereo Network? |
Satoshi Ikehata. In proceedings of IEEE International Conference on Image Processing (ICIP), 2022. (paper) |
Dual-ERP representation for Object Detection in 360 degree images. |
Miao Cao, Satoshi Ikehata, Kiyoharu Aizawa. In proceedings of IEEE International Conference on Image Processing (ICIP), 2022. |
Universal Photometric Stereo Network using Global Lighting Contexts. |
Satoshi Ikehata. In proceedings of CVF/IEEE Computer Vision and Pattern Recognition (CVPR), 2022 (project site). |
PS-Transformer: Learning Sparse Photometric Stereo Network using Self-Attention Mechanism. |
Satoshi Ikehata. In proceedings of British Machine Vision Conference (BMVC), 2021 (paper, github). |
Intersection Prediction from Single 360° Image via Deep Detection of Possible Direction of Travel. |
Naoki Sugimoto, Satoshi Ikehata and Kiyoharu Aizawa. In proceedings of British Machine Vision Conference (BMVC), 2021 (paper). |
360° Single Image Super Resolution via Distortion-Aware Network and Distorted Perspective Images. |
Akito Nishiyama, Satoshi Ikehata, Kiyoharu Aizawa. In proceedings of International Conference on Image Processing (ICIP), 2021 (paper). |
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). |