游　梦博 (YOU Mengbo)

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Affiliation
Position
Research Interests
Iwate University, Faculty of Science and Engineering
Associate Professor
Deep learning, computer vision, pattern recognition, 3D point cloud processing
🔬 Explore My Research Journey

Journal Papers

No. 23
Tumulus Distribution Prediction in the Iwase Senzuka Tumulus Cluster with Topographic Maps
Mengbo You, Kouichi Konno, Atsushi Noguchi, Ryosuke Nakamura, Yuichi Takata
The Journal of the Society for Art and Science, 2025 accepted
No. 22
A Study on Automatic Registration of 3D Point Clouds Obtained from Archaeological Trench Investigations
Maral Enkhtugs, Mengbo You, Maki Tarora, Hiromi Hirakawa, Satoshi Nakazono, Kouichi Konno
The Journal of the Society for Art and Science, 2025 accepted
No. 21
3次元計測点群に基づく縄文土器表面装飾セグメンテーション手法
木下勉, 游梦博, 今野晃市, 林哲正
芸術科学会論文誌, 2025 採録決定
No. 20
土器片の空間配置推定手法に基づく土器片組立システム
川島大心，游梦博，木下勉，今野晃市
芸術科学会論文誌, 2025 採録決定
No. 19
A Study on Junction Region Recognition for Shape Similarity Metric of Stone Tools Using 3D Measured Point Cloud
Enkhbaatar Altansoyombo, Mengbo You, Kouichi Konno
Computer Aided Design and Applications, 2025 accepted
No. 18
Symmetrical Self-representation and Data-grouping Strategy for Unsupervised Feature Selection
Aihong Yuan, Mengbo You, Yuhan Wang, Xun Li, Xuelong Li
IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 12, pp. 9348-9360, 2024 Top Journal, IF: 9.235
No. 17
Matching up Stone Tools and Storage Bags via Deep Learning of Stable Posture Images
Mengbo You, Fumito Chiba, Kouichi Konno
The Journal of the Society for Art and Science, vol. 23, no. 2, pp. 3:1-3:13, 2024 [PDF]
No. 16
A New Matching Algorithm for Stone Tool Reassembly Based on Contour Points of Flake Surface
Amgalan Altansukh, Mengbo You, Enkhbayar Altantsetseg, Oyundolgor Khorloo, Fumito Chiba, Kouichi Konno
The Journal of the Society for Art and Science, vol. 23, no. 2, pp. 4:1-4:17, 2024 [PDF]
No. 15
Robust Unsupervised Hyperspectral Band Selection via Global Affinity Matrix Reconstruction
Mengbo You, Aihong Yuan, Min Zou and Kouichi Konno
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 7374-7384, 2023 IF: 5.5
No. 14
Unsupervised Feature Selection via Neural Networks and Self-Expression with Adaptive Graph
Mengbo You, Aihong Yuan, Dongjian He, Xuelong Li
Pattern Recognition, 2023, 135: 109173 Top Journal, IF: 7.74
No. 13
Unsupervised Feature Selection with Joint Self-Expression and Spectral Analysis via Adaptive Graph Constraints
Mengbo You, Lujie Ban, Yuhan Wang, Juan Kang, Guorui Wang, Aihong Yuan
Multimedia Tools and Applications, vol. 82, no. 4, pp. 5879-5898, 2023
No. 12
Robust Unsupervised Feature Selection via Multi-Group Adaptive Graph Representation
Mengbo You, Aihong Yuan, Min Zou, Dongjian He, Xuelong Li
IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 3, pp. 3030-3044, 2023 Top Journal, IF: 9.235
No. 11
分解順序の記録と再生による簡易マーカーを用いた部品の再組立支援手法
田中隆太, 游梦博, 今野晃市, 田中隆充
芸術科学会論文, vol. 22, pp. 3:1-3:11, 2023
No. 10
計測点群を用いた石器剥離面と接合資料表面の部分マッチング手法の検討
高橋司, 游梦博, 今野晃市
芸術科学会論文, vol. 22, pp. 1:1-1:10, 2023
No. 9
Cork Classification based on Multi-scale Faster-RCNN with Machine Vision
Wenju Zhou, Yang Li, Li Liu, Haikuan Wang, Mengbo You
Measurement, vol. 217, 113089 (10 pages), 2023
No. 8
Convex Non-Negative Matrix Factorization with Adaptive Graph for Unsupervised Feature Selection
Aihong Yuan, Mengbo You, Dongjian He, Xuelong Li
IEEE Transactions on Cybernetics, vol. 52, pp. 5522-5534, 2022 Top Journal, IF: 11.8
No. 7
Hyperspectral Band Selection via Band Grouping and Adaptive Multi-Graph Constraint
Mengbo You, Xiancheng Meng, Yishu Wang, Hongyuan Jin, Chunting Zhai, Aihong Yuan
Remote Sensing, vol. 14, 4379 (24 pages), 2022
No. 6
Application of Facial Symmetrical Characteristic to Transfer Learning
Min Zou, Mengbo You, Takuya Akashi
IEEJ Transactions on Electrical and Electronic Engineering, vol. 16, pp. 108-116, 2021
No. 5
Reconstruction of Partially Occluded Facial Image for Classification
Min Zou, Mengbo You, Takuya Akashi
IEEJ Transactions on Electrical and Electronic Engineering, vol. 16, pp. 600-608, 2021
No. 4
A Novel Chicken Meat Quality Evaluation Method Based on Color Card Localization and Color Correction
Mengbo You, Jiahao Liu, Jian Zhang, Mingdong Xv, Dongjian He
IEEE Access, vol. 8, pp. 170093-170100, 2020
No. 3
Center-Symmetrical Object Detection Based on Gabor Wavelets
Yi Zhang, Min Zou, Mengbo You, Takuya Akashi
IEEE Access, vol. 8, pp. 220869-220877, 2020
No. 2
Multi-View Face Detection Using Frontal Face Detector
Mengbo You, Takuya Akashi
IEEJ Transactions on Electrical and Electronic Engineering, vol. 13, pp. 1011-1019, 2018
No. 1
A Novel Rat Head Gaze Determination System based on Optomotor Responses
Mengbo You, Toshiyuki Yamane, Hiroshi Tomita, Eriko Sugano, Takuya Akashi
PLoS ONE, vol. 12, e0176633 (8 pages), 2017

Projects

Hyperspectral Band Selection

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Objective
Select the most important hyperspectral bands for machine learning tasks
Methodology
Global Affinity Matrix Reconstruction
Results
We proposed a method that identifies the most informative hyperspectral bands to enhance machine learning performance.
Duration
2022–2023

Feature Selection Verification

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Objective
Verify the effectiveness of feature selection
Methodology
Compare clustering accuracy before and after applying feature selection
Results
We verified that selecting the top 10% of representative features led to improved clustering accuracy.
Duration
2022–2023

Partial Shape Matching

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Objective
Estimate the internal 3D pose of the joining material
Methodology
Divide-and-conquer strategy for partial shape matching using measured point cloud data
Results
We propose a method that performs partial shape matching between flake surfaces and joining material surfaces based on point cloud measurements, enabling more accurate alignment and fitting.
Duration
2022–2023

Component Reassembly Assistance

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Objective
Assist with component reassembly
Methodology
Recording and replaying the disassembly sequence with simple marker detection
Results
We propose a method to support component reassembly by guiding users through the recorded disassembly order, enabling faster and more accurate assembly.
Duration
2022–2023

Wine Cork Inspection

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Objective
Inspect wine corks for scratches or damage
Methodology
Multi-scale Faster R-CNN
Results
We propose a machine vision system to automatically detect the presence, severity, and type of scratches or damage on wine corks.
Duration
2022–2023

Center-Symmetrical Object Detection

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Objective
Detect center-symmetrical objects and identify their centers in arbitrary images
Methodology
Gabor wavelet analysis
Results
Our method accurately detects center-symmetrical objects and their central points from arbitrary images.
Duration
2021–2022

Rat Senseing

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Objective
Analyze rat behavior using the optomotor response
Methodology
Contour line curvature analysis
Results
We present a system that automatically extracts the rat’s head gaze orientation from each frame.
Duration
2017–2018

Profile Face

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Objective
Detect profile faces
Methodology
Flipping scheme
Results
Our method adapts a frontal face detector (red boxes) to also detect profile faces (blue boxes) through a flipping-based approach.
Duration
2015–2017

Multi-view Face

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Objective
Detect multi-view faces
Methodology
Flipping scheme
Results
We present a multi-view face detector that automatically detects both frontal faces (with faster performance) and profile faces (with slightly slower performance).
Duration
2013–2015

Saury Head/Tail Determination

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Objective
Align all saury in the same head-to-tail orientation within each packaging box
Methodology
Custom head/tail determination rule
Results
Our method uses basic body extraction and head/tail determination techniques to achieve ultra-high-speed processing suitable for packaging pipelines.
Duration
2013–2015

Line Filter Design

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Objective
Extract defects from a relatively flat (or flat along x-axis/y-axis/dioginal directions) surface
Methodology
Custom line filter design
Results
We propose a series of line filters tailored to detect defects on surfaces that are flat or exhibit directional flatness along the x-axis, y-axis, or diagonals.
Duration
2014–2015

Join US

Research Opportunities

We offer PhD and Master’s positions in the fields of computer vision, image processing, deep learning, and 3D point cloud processing for final-year undergraduate and MSc students. If you’re interested, please send your application or inquiry to the following email address (by first solving the C language puzzle below):

C language puzzle

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Please note that several factors beyond your individual qualifications may influence our decision, including the application periods, which are held twice a year at Iwate University.

In many cases, prospective MSc students are required to spend approximately six months in our lab as a research student before formally entering the program. This period is intended to help you strengthen your skills and refine your research topic.

We appreciate your understanding and look forward to hearing from you.