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Stacked Temporal Attention: Improving First-person Action Recognition by Emphasizing Discriminative Clips


Dec 02, 2021
Lijin Yang, Yifei Huang, Yusuke Sugano, Yoichi Sato

* BMVC 2021 

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Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data


Dec 02, 2021
Yifei Huang, Xiaoxiao Li, Lijin Yang, Lin Gu, Yingying Zhu, Hirofumi Seo, Qiuming Meng, Tatsuya Harada, Yoichi Sato

* BMVC 2021 

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Hand-Object Contact Prediction via Motion-Based Pseudo-Labeling and Guided Progressive Label Correction


Oct 19, 2021
Takuma Yagi, Md Tasnimul Hasan, Yoichi Sato

* BMVC 2021 

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Ego4D: Around the World in 3,000 Hours of Egocentric Video


Oct 13, 2021
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik


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Spatio-Temporal Perturbations for Video Attribution


Sep 01, 2021
Zhenqiang Li, Weimin Wang, Zuoyue Li, Yifei Huang, Yoichi Sato

* IEEE Transactions on Circuits and Systems for Video Technology 2021 

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Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation


Jul 11, 2021
Takehiko Ohkawa, Takuma Yagi, Atsushi Hashimoto, Yoshitaka Ushiku, Yoichi Sato

* Accepted to IEEE Access 2021 

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EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2021: Team M3EM Technical Report


Jul 01, 2021
Lijin Yang, Yifei Huang, Yusuke Sugano, Yoichi Sato


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GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery


Feb 12, 2021
Takuma Yagi, Takumi Nishiyasu, Kunimasa Kawasaki, Moe Matsuki, Yoichi Sato

* 13 pages, 13 figures, ACM IUI 2021 

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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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