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Yasuyuki Matsushita

Deep Photometric Stereo Networks for Determining Surface Normal and Reflectances
Light Structure from Pin Motion: Geometric Point Light Source Calibration
Continuous 3D Label Stereo Matching Using Local Expansion Moves
Gaze-guided Image Classification for Reflecting Perceptual Class Ambiguity
Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-Based Modeling
Shape-Conditioned Image Generation by Learning Latent Appearance Representation from Unpaired Data
Deep Photometric Stereo Network
Multi-task Learning Using Multi-modal Encoder-Decoder Networks with Shared Skip Connections
Appearance-Based Gaze Estimation With Online Calibration From Mouse Operations
From Intensity Profile to Surface Normal: Photometric Stereo for Unknown Light Sources and Isotropic Reflectances
Interreflection Removal Using Fluorescence
Learning-by-Synthesis for Appearance-Based 3D Gaze Estimation
Appearance-Based Gaze Estimation Using Visual Saliency
Graph-based joint clustering of fixations and visual entities
Uncalibrated Photometric Stereo for Unknown Isotropic Reflectances
Camera spectral sensitivity estimation from a single image under unknown illumination by using fluorescence
Surface Reconstruction in Photometric Stereo with Calibration Error
Calibration-free gaze sensing using saliency maps
An Incremental Learning Method for Unconstrained Gaze Estimation

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