Yoshihiko Mochizuki

The University of Tokyo — Japan

Computer Science · Physical Sciences

11h-index327citations45works0.02yr avg
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Research Topics

Advanced Vision and Imaging(12), Image and Object Detection Techniques(9), Robotics and Sensor-Based Localization(7), Medical Image Segmentation Techniques(6), Advanced Image Processing Techniques(5)

Publications45 total

Object-Oriented Bayesian Networks for Activity-Based Model with Deep Generative Graph Averaging
2024
Re-staining Pathology Images by FCNN
2019· 8 cited
Adaptive Energy Selection for Content-Aware Image Resizing
2017
Banknote portrait detection using convolutional neural network
2017· 11 cited
Multiple-organ segmentation by graph cuts with supervoxel nodes
2017· 3 cited
Unsupervised video object segmentation by supertrajectory labeling
2017· 1 cited
Detection by classification of buildings in multispectral satellite imagery
2016· 38 cited
Room reconstruction from a single spherical image by higher-order energy minimization
2016· 12 cited
Three-DoF pose estimation of asteroids by appearance-based linear regression with divided parameter space
2015· 5 cited
Multiple-organ segmentation based on spatially-divided neighboring data energy
2015
Surface object recognition with CNN and SVM in Landsat 8 images
2015· 39 cited
Multi-organ segmentation by minimization of higher-order energy for CT boundary
2015· 1 cited
A HOG-based hand gesture recognition system on a mobile device
2014· 42 cited
Defining a pairwise similarity measure based on linearity -- Application to line extraction from distorted image
IEICE Technical Report; IEICE Tech. Rep.·2013
Scale-Space Clustering on the Sphere
Lecture notes in computer science·2013· 1 cited
Pairwise Similarity for Line Extraction from Distorted Images
Lecture notes in computer science·2013
Pyramid Transform and Scale-Space Analysis in Image Analysis
Lecture notes in computer science·2012· 2 cited
Multiresolution Optical Flow Computation of Spherical Images
Lecture notes in computer science·2011· 6 cited
Variational method for super-resolution optical flow
Signal Processing·2010· 14 cited
An Iterative Method for Superresolution of Optical Flow Derived by Energy Minimisation
2010· 1 cited
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Frequent Co-authors

Atsushi Imiya(17), Hiroshi Ishikawa(12), Genki YAGAWA(11), Shinobu Yoshimura(9), Akihiko Torii(7), Tomoya Sakai(6), Edgar Simo‐Serra(5), Yuji Oyamada(4), Satoshi Iizuka(4), Yusuke Kameda(4), Takashi Imaizumi(3), Tomohiro Ishii(2), Akihiro Sugimoto(2), S. Yoshimura(2), Hironobu Sugaya(2), Naoya Ohnishi(2), Asuka Okagawa(2), Jun Fujiki(2), Shotaro Akaho(2), Lukas Prasuhn(1)