Sato Lab./Sugano Lab.
Sato Lab./Sugano Lab.
Y. Sato Lab.
Sugano Lab.
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MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation
Learning-based methods are believed to work well for unconstrained gaze estimation, i.e. gaze estimation from a monocular RGB camera …
Xucong Zhang
,
Yusuke Sugano
,
Mario Fritz
,
Andreas Bulling
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DOI
Continuous 3D Label Stereo Matching Using Local Expansion Moves
Tatsunori Taniai
,
Yasuyuki Matsushita
,
Yoichi Sato
,
Takeshi Naemura
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DOI
Ego-Surfing: Person Localization in First-Person Videos Using Ego-Motion Signatures
Ryo Yonetani
,
Kris M. Kitani
,
Yoichi Sato
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DOI
Hyperspectral Image Super-Resolution With a Mosaic RGB Image
Ying Fu
,
Yinqiang Zheng
,
Hua Huang
,
Imari Sato
,
Yoichi Sato
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SymPS: BRDF Symmetry Guided Photometric Stereo for Shape and Light Source Estimation
Feng Lu
,
Xiaowu Chen
,
Imari Sato
,
Yoichi Sato
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DOI
Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Restoration
Ying Fu
,
Antony Lam
,
Imari Sato
,
Yoichi Sato
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DOI
An Ego-Vision System for Hand Grasp Analysis
Minjie Cai
,
Kris M. Kitani
,
Yoichi Sato
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DOI
Appearance-Based Gaze Estimation via Uncalibrated Gaze Pattern Recovery
Feng Lu
,
Xiaowu Chen
,
Yoichi Sato
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DOI
InvisibleEye: Mobile Eye Tracking Using Multiple Low-Resolution Cameras and Learning-Based Gaze Estimation
Marc Tonsen
,
Julian Steil
,
Yusuke Sugano
,
Andreas Bulling
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DOI
Auto-Radiometric Calibration in Photometric Stereo
Wiennat Mongkulmann
,
Takahiro Okabe
,
Yoichi Sato
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DOI
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