Satoshi Ikehata

According to our database, Satoshi Ikehata authored at least 34 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Investigating the Perception of Facial Anonymization Techniques in 360° Videos.

Leslie Wöhler, Satoshi Ikehata, Kiyoharu Aizawa

ACM Trans. Appl. Percept., October, 2024

Physics-Free Spectrally Multiplexed Photometric Stereo under Unknown Spectral Composition.

Satoshi Ikehata, Yuta Asano

CoRR, 2024

GUMBEL-NERF: Representing Unseen Objects as Part-Compositional Neural Radiance Fields.

Yusuke Sekikawa, Chingwei Hsu, Satoshi Ikehata, Rei Kawakami, Ikuro Sato

CoRR, 2024

Privacy Protection and Video Manipulation in Immersive Media.

Leslie Wöhler, Satoshi Ikehata, Kiyoharu Aizawa

CoRR, 2024

MERLiN: Single-Shot Material Estimation and Relighting for Photometric Stereo.

Ashish Tiwari, Satoshi Ikehata, Shanmuganathan Raman

Proceedings of the Computer Vision - ECCV 2024, 2024

[inline-graphic not available: see fulltext] -PS: Spectrally Multiplexed Photometric Stereo Under Unknown Spectral Composition.

Satoshi Ikehata, Yuta Asano

Proceedings of the Computer Vision - ECCV 2024, 2024

Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes.

Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Simple Finetuning Strategy Based on Bias-Variance Ratios of Layer-Wise Gradients.

Mao Tomita, Ikuro Sato, Rei Kawakami, Nakamasa Inoue, Satoshi Ikehata, Masayuki Tanaka

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

360RVW: Fusing Real 360° Videos and Interactive Virtual Worlds.

Mizuki Takenawa, Naoki Sugimoto, Leslie Wöhler, Satoshi Ikehata, Kiyoharu Aizawa

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Scalable, Detailed and Mask-Free Universal Photometric Stereo.

Satoshi Ikehata

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Non-uniform Sampling Strategies for NeRF on 360{\textdegree} images.

Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa

CoRR, 2022

Distortion-Aware Self-Supervised 360° Depth Estimation from A Single Equirectangular Projection Image.

Yuya Hasegawa, Satoshi Ikehata, Kiyoharu Aizawa

CoRR, 2022

Field-of-View IoU for Object Detection in 360° Images.

Miao Cao, Satoshi Ikehata, Kiyoharu Aizawa

CoRR, 2022

Saliency-Based Multiple Region of Interest Detection From a Single 360° Image.

Yuuki Sawabe, Satoshi Ikehata, Kiyoharu Aizawa

IEEE Access, 2022

Does Physical Interpretability of Observation Map Improve Photometric Stereo Networks?

Satoshi Ikehata

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Dual-Erp Representation for Object Detection in 360° Images.

Miao Cao, Satoshi Ikehata, Kiyoharu Aizawa

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Universal Photometric Stereo Network using Global Lighting Contexts.

Satoshi Ikehata

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Non-uniform Sampling Strategies for NeRF on 360° images.

Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

360° Single Image Super Resolution via Distortion-Aware Network and Distorted Perspective Images.

Akito Nishiyama, Satoshi Ikehata, Kiyoharu Aizawa

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Intersection Prediction from Single 360° Image via Deep Detection of Possible Direction of Travel.

Naoki Sugimoto, Satoshi Ikehata, Kiyoharu Aizawa

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

PS-Transformer: Learning Sparse Photometric Stereo Network using Self-Attention Mechanism.

Satoshi Ikehata

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2018

Efficiency-enhanced cost-volume filtering featuring coarse-to-fine strategy.

Ryosuke Furuta, Satoshi Ikehata, Toshihiko Yamasaki, Kiyoharu Aizawa

Multim. Tools Appl., 2018

Scale Drift Correction of Camera Geo-Localization Using Geo-Tagged Images.

Kazuya Iwami, Satoshi Ikehata, Kiyoharu Aizawa

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

CNN-PS: CNN-Based Photometric Stereo for General Non-convex Surfaces.

Satoshi Ikehata

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

From Bayesian Sparsity to Gated Recurrent Nets.

Hao He, Bo Xin, Satoshi Ikehata, David P. Wipf

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Panoramic Structure from Motion via Geometric Relationship Detection.

Satoshi Ikehata, Ivaylo Boyadzhiev, Qi Shan, Yasutaka Furukawa

CoRR, 2016

2015

Structured Indoor Modeling.

Satoshi Ikehata, Hang Yang, Yasutaka Furukawa

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Photometric Stereo Using Sparse Bayesian Regression for General Diffuse Surfaces.

Satoshi Ikehata, David P. Wipf, Yasuyuki Matsushita, Kiyoharu Aizawa

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Coarse-to-fine strategy for efficient cost-volume filtering.

Ryosuke Furuta, Satoshi Ikehata, Toshihiko Yamasaki, Kiyoharu Aizawa

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Photometric Stereo Using Constrained Bivariate Regression for General Isotropic Surfaces.

Satoshi Ikehata, Kiyoharu Aizawa

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Depth map up-sampling using cost-volume filtering.

Ji-Ho Cho, Satoshi Ikehata, Hyunjin Yoo, Margrit Gelautz, Kiyoharu Aizawa

Proceedings of the 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, 2013

Depth map inpainting and super-resolution based on internal statistics of geometry and appearance.

Satoshi Ikehata, Ji-Ho Cho, Kiyoharu Aizawa

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Robust photometric stereo using sparse regression.

Satoshi Ikehata, David P. Wipf, Yasuyuki Matsushita, Kiyoharu Aizawa

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Confidence-based refinement of corrupted depth maps.

Satoshi Ikehata, Kiyoharu Aizawa

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012