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A Comprehensive Study on Visual Explanations for Spatio-temporal Networks

May 01, 2020
Zhenqiang Li, Weimin Wang, Zuoyue Li, Yifei Huang, Yoichi Sato


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A computer-aided diagnosis system using artificial intelligence for hip fractures significantly improves the diagnostic rate of residents. -Multi-institutional joint Development Research

Apr 05, 2020
Yoichi Sato, Yasuhiko Takegami, Takamune Asamoto, Yutaro Ono, Ryosuke Goto, Asahi Kitamura, Seiwa Honda

* 6 pages, 3 tables, 7 figures. / author's homepage : https://www.fracture-ai.org 

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A Computer-Aided Diagnosis System Using Artificial Intelligence for Proximal Femoral Fractures Enables Residents to Achieve a Diagnostic Rate Equivalent to Orthopedic Surgeons -- multi-institutional joint development research

Mar 11, 2020
Yoichi Sato, Takamune Asamoto, Yutaro Ono, Ryosuke Goto, Asahi Kitamura, Seiwa Honda

* 6 pages, 3 tables, 7 figures. / author's homepage : https://www.fracture-ai.org 

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Manipulation-skill Assessment from Videos with Spatial Attention Network

Jan 09, 2019
Zhenqiang Li, Yifei Huang, Minjie Cai, Yoichi Sato


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Mutual Context Network for Jointly Estimating Egocentric Gaze and Actions

Jan 07, 2019
Yifei Huang, Minjie Cai, Zhenqiang Li, Yoichi Sato


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Understanding hand-object manipulation by modeling the contextual relationship between actions, grasp types and object attributes

Jul 22, 2018
Minjie Cai, Kris Kitani, Yoichi Sato

* 14 pages, 13 figures 

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Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition

Jul 20, 2018
Yifei Huang, Minjie Cai, Zhenqiang Li, Yoichi Sato


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Future Person Localization in First-Person Videos

Mar 28, 2018
Takuma Yagi, Karttikeya Mangalam, Ryo Yonetani, Yoichi Sato

* Accepted to CVPR 2018 

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Ego-Surfing: Person Localization in First-Person Videos Using Ego-Motion Signatures

Nov 29, 2017
Ryo Yonetani, Kris M. Kitani, Yoichi Sato

* To appear in IEEE TPAMI 

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Continuous 3D Label Stereo Matching using Local Expansion Moves

Oct 17, 2017
Tatsunori Taniai, Yasuyuki Matsushita, Yoichi Sato, Takeshi Naemura

* IEEE Trans. Pattern Anal. Mach. Intell., vol. 40, no. 11, pp. 2725-2739, 2018 
* 14 pages. An extended version of our preliminary conference paper [39], Taniai et al. "Graph Cut based Continuous Stereo Matching using Locally Shared Labels" in the proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014). Our results were submitted to Middlebury Stereo Benchmark Version 2 on April 22, 2015, and to Version 3 on July 4, 2017 

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Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption

Jul 28, 2017
Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani, Yoichi Sato

* To appear in ICCV 2017 

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Fast Multi-frame Stereo Scene Flow with Motion Segmentation

Jul 05, 2017
Tatsunori Taniai, Sudipta N. Sinha, Yoichi Sato

* 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA, 2017, pp. 6891-6900 
* 15 pages. To appear at IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017). Our results were submitted to KITTI 2015 Stereo Scene Flow Benchmark in November 2016 

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Hierarchical Gaussian Descriptors with Application to Person Re-Identification

Jun 14, 2017
Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato

* 14 pages, 12 figures, 4 tables 

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