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Sho Takahashi
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2020 – today
- 2024
- [j17]Sho Takahashi, Ryohei Maruyama, Toru Hagiwara:
AR-based Merging Assistance at Expressway and Its Verification. Int. J. Intell. Transp. Syst. Res. 22(3): 675-686 (2024) - [c53]Sho Takahashi, Kota Uenishi, Masahiro Yagi, Toru Hagiwara, Toshio Yoshii:
A Note on LSTM-based Prediction of Road Surface Condition Using Spatial Direction Series Data. GCCE 2024: 375-376 - [c52]Masahiro Yagi, Yuto Sasaeda, Sho Takahashi, Toru Hagiwara, Toshio Yoshii:
A Note on Issues for Implementation of Visibility Level Recognition Using In-vehicle Camera Videos. GCCE 2024: 584-585 - [c51]Aki Shigesawa, Sho Takahashi, Masahiro Yagi, Toshio Yoshii, Toru Hagiwara:
Two-Wheeled Vehicle Recognition Based on 3D Pose Estimation and Object Recognition. GCCE 2024: 586-587 - [c50]Kazuki Matsumoto, Masanori Matsuda, Sho Takahashi, Takumi Asada:
Examination of Edge AI Technology for Real-Time Road Monitoring in Hokkaido. GCCE 2024: 595-596 - 2023
- [c49]Masahiro Yagi, Ryo Sato, Sho Takahashi, Toru Hagiwara:
An In-vehicle Edge Computing System for Monitoring Nighttime Winter Road Visibility. GCCE 2023: 101-102 - [c48]Rimmon Labadan, Sho Takahashi, Kriengsak Panuwatwanich, Toru Hagiwara:
Development of A BIM-based Automated Fall Hazzard Identification as Prevention-through-Design(PTD) Tool for Structural Designers. GCCE 2023: 214-215 - [c47]Eiki Fukuda, Masahiro Yagi, Sho Takahashi, Toru Hagiwara:
A Note on Visibility Level Estimation Based on Third-order Tensor Completion Using CCTV Images and GPV Data. GCCE 2023: 218-219 - [c46]Ryosuke Hayashi, Masahiro Yagi, Sho Takahashi, Toru Hagiwara:
An Observation Method of Vehicle Lateral Position Based on Map Matching in Winter Road Condition. GCCE 2023: 220-221 - [c45]Kota Uenishi, Masahiro Yagi, Sho Takahashi, Toru Hagiwara:
A Note on Discriminator Updating Method based on Weights of Other Models and its Verification. ICCE-Taiwan 2023: 39-40 - [c44]Koji Saito, Sho Takahashi, Toru Hagiwara:
A Note on Improvement of Multi Object Tracking by Frame Interpolation for Intersection Traffic. ICCE 2023: 1-2 - 2022
- [c43]Masamu Ishizuki, Sho Takahashi, Toru Hagiwara, Keita Ishii, Yuji Iwasaki, Teppei Mori, Yasushi Hanatsuka:
Image and CAIS Features-Based Estimation of Road Surface Condition on Winter Local Road. GCCE 2022: 79-80 - [c42]Tomohiro Mukai, Takayuki Abe, Masahiro Yagi, Sho Takahashi, Toru Hagiwara:
An Estimation Method for Deploying Condition of Sensors in Cooperative Observation of Road Traffic. ICCE-TW 2022: 297-298 - [c41]Hiroki Kinoshita, Masahiro Yagi, Sho Takahashi, Toru Hagiwara:
A Method for Classifying Road Narrowing Conditions Based on Features of Surrounding Vehicles and Piled Snow in In-vehicle Camera Videos. ICCE-TW 2022: 299-300 - [c40]Ryohei Maruyama, Sho Takahashi, Toru Hagiwara:
A Virtual Reality Driving Simulator with Gaze Tracking for Analyzing Driver's Behavior. LifeTech 2022: 144-145 - 2021
- [j16]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Deterioration level estimation via neural network maximizing category-based ordinally supervised multi-view canonical correlation. Multim. Tools Appl. 80(15): 23091-23112 (2021) - [c39]Sho Takahashi, Toru Hagiwara, Ryo Sato, Kazuhito Ohashi, Yasuhiro Nagata:
Advanced Road Visibility Inspection System for Winter Road Maintenance Using Microcomputer. GCCE 2021: 28-29 - [c38]Masahiro Yagi, Tomoyuki Takase, Sho Takahashi, Toru Hagiwara, Tomonori Ohiro, Yuji Iwasaki, Teppei Mori, Yasushi Hanatsuka:
An Edge Computing System for Estimating Road Surface Condition on Winter Expressway. GCCE 2021: 71-72 - [c37]Tomoyuki Takase, Sho Takahashi, Toru Hagiwara, Tomonori Ohiro, Yuji Iwasaki, Teppei Mori, Yasushi Hanatsuka:
An Estimation Method of Road Surface Condition on Winter Expressway via Mobile Nets using In-vehicle Camera Images. GCCE 2021: 109-110 - [c36]Isamu Kamoto, Takayuki Abe, Sho Takahashi, Toru Hagiwara:
LSTM-Based Prediction Method of Crowd Behavior for Robust to Pedestrian Detection Error. GCCE 2021: 218-219 - [c35]Sho Takahashi, Shuhei Wada, Toru Hagiwara, Kazunori Munehiro:
Vehicle Behavior Measurement based-on RTK-GNSS for Driver's Risk Feeling Estimation. GCCE 2021: 528-529 - [c34]Ryo Sato, Masahiro Yagi, Sho Takahashi, Toru Hagiwara, Yasuhiro Nagata, Kazuhito Ohashi:
An Estimation Method of Visibility Level Based on Multiple Models Using In-vehicle Camera Videos under Nighttime. GCCE 2021: 530-531 - 2020
- [j15]Keisuke Maeda, Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Estimation of Interest Levels From Behavior Features via Tensor Completion Including Adaptive Similar User Selection. IEEE Access 8: 126109-126118 (2020) - [c33]Gen Ohkama, Sho Takahashi, Toru Hagiwara:
An Estimation Method of Visibility Level Based on Low Rank Matrix Completion Using Positional Relationship of GPV Data. GCCE 2020: 638-639 - [c32]Shotaro Kawata, Sho Takahashi, Toru Hagiwara:
Visibility Level Estimation in Winter CCTV Images Based on Decision Level Fusion Using Logistic Regression. GCCE 2020: 640-641 - [c31]Kozo Okumura, Sho Takahashi, Toru Hagiwara:
An Estimation Method of Road Narrowing Condition in In-vehicle Camera. GCCE 2020: 733-734 - [c30]Takayuki Abe, Sho Takahashi, Toru Hagiwara:
Automatic Generation of Training Data for Deep Learning in AR-based Transportation Support System. ICCE-TW 2020: 1-2 - [c29]Shotaro Kawata, Sho Takahashi, Toru Hagiwara:
An Estimation Method of Visibility Level on Winter Road Based on Multiple Features in CCTV Images. ICCE-TW 2020: 1-2 - [c28]Gen Ohkama, Sho Takahashi, Toru Hagiwara:
An Estimation Method of Visibility Level Based on Low Rank Matrix Completion Using GPV Data. ICCE-TW 2020: 1-2 - [c27]Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
An Estimation Method of Candidate Region for Superimposing Information Based on Gaze Tracking Data in Soccer Videos. ICCE-TW 2020: 1-2 - [c26]Masahiro Yagi, Sho Takahashi, Toru Hagiwara:
A Study on Avoidance Behavior on Bicycle Trips Detection Using Multiple Features for Improvement Road Management. ICCE-TW 2020: 1-2 - [c25]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Feature Integration Via Geometrical Supervised Multi-View Multi-Label Canonical Correlation For Incomplete Label Assignment. ICIP 2020: 46-50 - [c24]Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Similar scene retrieval in soccer videos with weak annotations by multimodal use of bidirectional LSTM. MMAsia 2020: 27:1-27:8
2010 – 2019
- 2019
- [j14]Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Interest Level Estimation Based on Tensor Completion via Feature Integration for Partially Paired User's Behavior and Videos. IEEE Access 7: 148576-148585 (2019) - [j13]Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Team Tactics Estimation in Soccer Videos Based on a Deep Extreme Learning Machine and Characteristics of the Tactics. IEEE Access 7: 153238-153248 (2019) - [j12]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Convolutional sparse coding-based deep random vector functional link network for distress classification of road structures. Comput. Aided Civ. Infrastructure Eng. 34(8): 654-676 (2019) - [c23]Sho Takahashi, Masahiro Yagi, Toru Hagiwara:
Data Accumulation System of Obstacle Avoidance Behavior on Bicycle Trip for Transportation Engineering. GCCE 2019: 311-312 - [c22]Kozo Okumura, Sho Takahashi, Toru Hagiwara:
Analysis of Various Web Data for Visualization of Travel Time and Accessibility. GCCE 2019: 439-440 - [c21]Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
A Method for Predicting Importance of Attack Players Based on Multiple Gaze Tracking Data in Soccer Videos. GCCE 2019: 511-512 - [c20]Masahiro Yagi, Sho Takahashi, Toru Hagiwara:
An Evaluation Method of Obstacle Avoidance Behavior on Bicycle Trip Using Rider's Gesture. GCCE 2019: 513-514 - [c19]Sho Takahashi, Marco Bertini, Alberto Del Bimbo, Miki Haseyama, Toru Hagiwara:
Similarity Calculation Based on Pass Regions in Soccer Videos. GCCE 2019: 515-516 - [c18]Takayuki Abe, Sho Takahashi, Toru Hagiwara:
A Calculation Method of Degree of Data Indication Regions in First-Person View Videos for Improvement Transportation. GCCE 2019: 558-559 - [c17]Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Multimodal Retrieval of Similar Soccer Videos Based on Optimal Combination of Multiple Distance Measures. GCCE 2019: 665-666 - [c16]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Multi-feature Fusion Based on Supervised Multi-view Multi-label Canonical Correlation Projection. ICASSP 2019: 3936-3940 - [c15]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Neural Network Maximizing Ordinally Supervised Multi-View Canonical Correlation for Deterioration Level Estimation. ICIP 2019: 919-923 - [c14]Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Estimation of users' interest levels using tensor completion with SemiCCA. LifeTech 2019: 239-240 - [c13]Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Retrieval of Similar Scenes Based on Multimodal Distance Metric Learning in Soccer Videos. MMSports@MM 2019: 10-15 - 2018
- [j11]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Distress classification of class-imbalanced inspection data via correlation-maximizing weighted extreme learning machine. Adv. Eng. Informatics 37: 79-87 (2018) - [j10]Takahiro Ogawa, Sho Takahashi, Naofumi Wada, Akira Tanaka, Miki Haseyama:
Binary Sparse Representation Based on Arbitrary Quality Metrics and Its Applications. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(11): 1776-1785 (2018) - [j9]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Estimation of Deterioration Levels of Transmission Towers via Deep Learning Maximizing Canonical Correlation Between Heterogeneous Features. IEEE J. Sel. Top. Signal Process. 12(4): 633-644 (2018) - [c12]Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Team Tactics Estimation in Soccer Videos via Deep Extreme Learning Machine Based on Players Formation. GCCE 2018: 116-117 - [c11]Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Estimation of Important Scenes in Soccer Videos Based on Collaborative Use of Audio-Visual CNN Features. GCCE 2018: 710-711 - [c10]Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Interest Level Estimation of Items via Matrix Completion Based on Adaptive User Matrix Construction. ICME 2018: 1-6 - 2017
- [j8]Miki Haseyama, Takahiro Ogawa, Sho Takahashi, Shuhei Nomura, Masatsugu Shimomura:
Biomimetics Image Retrieval Platform. IEICE Trans. Inf. Syst. 100-D(8): 1563-1573 (2017) - [j7]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Distress Classification of Road Structures via Adaptive Bayesian Network Model Selection. J. Comput. Civ. Eng. 31(5) (2017) - [c9]Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Interest level estimation based on matrix completion via rank minimization. GCCE 2017: 1-2 - [c8]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Automatic estimation of deterioration level on transmission towers via deep extreme learning machine based on local receptive field. ICIP 2017: 2379-2383 - 2016
- [j6]Zaixing He, Takahiro Ogawa, Sho Takahashi, Miki Haseyama, Xinyue Zhao:
Improvement of video coding efficiency based on sparse contractive mapping approach. Neurocomputing 173: 1898-1907 (2016) - [c7]Ryota Saito, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Retrieval of similar inspection records based on metric learning using experienced inspectors' evaluation. GCCE 2016: 1-2 - [c6]Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Decision level fusion-based team tactics estimation in soccer videos. GCCE 2016: 1-2 - [c5]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Distress classification of road structures via decision level fusion. DSP 2016: 589-593 - 2014
- [j5]Masashi Hyodo, Sho Takahashi, Takahiro Nishiyama:
Multiple Comparisons Among Mean Vectors When the Dimension is Larger Than the Total Sample Size. Commun. Stat. Simul. Comput. 43(10): 2283-2306 (2014) - [j4]Takahiro Ogawa, Shintaro Takahashi, Sho Takahashi, Miki Haseyama:
A new method for error degree estimation in numerical weather prediction via MKDA-based ordinal regression. EURASIP J. Adv. Signal Process. 2014: 115 (2014) - [j3]Kazuya Iwai, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Player Tracking in Far-View Soccer Videos Based on Composite Energy Function. IEICE Trans. Inf. Syst. 97-D(7): 1885-1892 (2014) - [c4]Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
Bayesian network-based distress estimation using image features in road structure assessment. GCCE 2014: 169-170 - 2013
- [c3]Sho Takahashi, Miki Haseyama:
Adaptive parameter setting for pass region estimation in soccer videos and its performance verification. GCCE 2013: 271-272 - [c2]Sho Takahashi, Miki Haseyama:
Active grid-based method for visualizing pass regions in soccer videos. ICME Workshops 2013: 1-6 - 2012
- [j2]Sho Takahashi, Takahiro Nishiyama, Takashi Seo:
Simultaneous Tests for Independence Among Components of Random Vector by Step-Down Multiple Comparison Procedure. Commun. Stat. Simul. Comput. 41(10): 1998-2005 (2012)
2000 – 2009
- 2009
- [j1]Shuichi Ichikawa, Sho Takahashi, Yuu Kawai:
Optimizing process allocation of parallel programs for heterogeneous clusters. Concurr. Comput. Pract. Exp. 21(4): 475-507 (2009)
1990 – 1999
- 1990
- [c1]Tetsuya Shimamura, Sho Takahashi:
Least squares adaptive equalizer using analytic signals. ICASSP 1990: 1393-1396
Coauthor Index
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