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ORCIDRyusuke Miyamoto
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2020 – today
- 2024
[i1]Takuto Fukushima, Ryusuke Miyamoto:
Spatiotemporal Pooling on Appropriate Topological Maps Represented as Two-Dimensional Images for EEG Classification. CoRR abs/2403.04353 (2024)- 2023
- [j18]Miho Adachi
, Kazufumi Honda, Ryusuke Miyamoto:
Turning at Intersections Using Virtual LiDAR Signals Obtained from a Segmentation Result. J. Robotics Mechatronics 35(2): 347-361 (2023) - [j17]Marin Wada, Yuriko Ueda, Junya Morioka, Miho Adachi, Ryusuke Miyamoto:
Dataset Creation for Semantic Segmentation Using Colored Point Clouds Considering Shadows on Traversable Area. J. Robotics Mechatronics 35(6): 1406-1418 (2023) - [j16]Miho Adachi, Kazufumi Honda, Junfeng Xue, Hiroaki Sudo, Yuriko Ueda, Yuki Yuda, Marin Wada, Ryusuke Miyamoto:
Practical Implementation of Visual Navigation Based on Semantic Segmentation for Human-Centric Environments. J. Robotics Mechatronics 35(6): 1419-1434 (2023) - [j15]Yuriko Ueda, Miho Adachi, Junya Morioka, Marin Wada, Ryusuke Miyamoto:
Data Augmentation for Semantic Segmentation Using a Real Image Dataset Captured Around the Tsukuba City Hall. J. Robotics Mechatronics 35(6): 1450-1459 (2023) - [c61]Marin Wada, Miho Adachi, Ryusuke Miyamoto:
Effect of Varied Datasets on Training of a Segmentation Model Used in Visual Navigation. IEEE Big Data 2023: 4350-4355 - [c60]Marin Wada, Hiroaki Sudo, Miho Adachi, Ryusuke Miyamoto:
Does a Dense Point Cloud for Training Data Generation Improve Segmentation Accuracy? IEEE Big Data 2023: 4356-4361 - [c59]Miho Adachi, Junfeng Xue, Kazufumi Honda, Marin Wada, Ryusuke Miyamoto:
Improvement of Visual Odometry Based on Robust Feature Extraction Considering Semantics. CoDIT 2023: 1705-1710 - [c58]Marin Wada, Miho Adachi, Yuriko Ueda, Ryusuke Miyamoto:
Dataset Genreratoin for Semantic Segmentation from 3D Scanned Data Considering Domain Gap. CoDIT 2023: 1711-1716 - [c57]Yuriko Ueda, Marin Wada, Miho Adachi, Ryusuke Miyamoto:
Dataset Creation for Segmentation to Enhance Visual Navigation in a Targeted Indoor Environment. SITIS 2023: 176-183 - [c56]Takeru Inoue, Michiya Kibe, Ryusuke Miyamoto:
Correspondence Between SWIR and MWIR Images Using Augmentation and Preprocessing for Registration. TENCON 2023: 998-1003 - 2022
- [c55]Masahiro Nakahara, Yuichi Mashiba, Ryusuke Miyamoto, Yuki Fujita, Hisashi Ishida, Keiichi Zempo:
Inspection of unexpected defective products by semi-supervised learning based on a probability density function in high-yield food production. IEEE Big Data 2022: 6784-6786 - [c54]Miho Adachi, Hiroki Ishida, Ryusuke Miyamoto:
Improvement of Visual Odometry Using Classic Features by Semantic Information. CoDIT 2022: 1512-1517 - [c53]Miho Adachi, Hayato Komatsuzaki, Marin Wada, Ryusuke Miyamoto:
Accuracy Improvement of Semantic Segmentation Trained with Data Generated from a 3D Model by Histogram Matching Using Suitable References. SMC 2022: 1180-1185 - 2021
- [c52]Junya Morioka, Ryusuke Miyamoto:
A Study on Accuracy Improvement of Small Object Detection Using Deep Neural Networks. APCCAS 2021: 73-76 - [c51]Shiho Hanashiro, Junfeng Xue, Junya Morioka, Ryusuke Miyamoto, Takuma Hamagami, Kentaro Yanagihara, Yasutaka Kawamoto, Hiroyuki Okuhata, Hiroyuki Yomo, Tomohito Takubo:
Testing Environment for Developing a Wireless Networking System based on Image-assisted Routing for Sports Applications. icSPORTS 2021: 138-143 - [c50]Shiho Hanashiro, Motoki Takematsu, Ryusuke Miyamoto:
Feasibility Study of an Image-based Supporting System for Sprint Training. icSPORTS 2021: 151-156 - 2020
- [j14]Takuma Hamagami, Shinsuke Hara, Hiroyuki Yomo, Ryusuke Miyamoto, Yasutaka Kawamoto, Takunori Shimazaki, Hiroyuki Okuhata:
Performance Prediction of Wireless Vital Data Collection System for Exercisers by a Network Simulator. IEICE Trans. Commun. 103-B(6): 653-661 (2020) - [j13]Ryusuke Miyamoto, Miho Adachi, Hiroki Ishida, Takuto Watanabe, Kouchi Matsutani, Hayato Komatsuzaki, Shogo Sakata, Raimu Yokota, Shingo Kobayashi:
Visual Navigation Based on Semantic Segmentation Using Only a Monocular Camera as an External Sensor. J. Robotics Mechatronics 32(6): 1137-1153 (2020) - [c49]Hayato Komatsuzaki, Raimu Yokota, Shogo Sakata, Miho Adachi, Ryusuke Miyamoto:
Generation of Datasets for Semantic Segmentation from 3D Scanned Data to Train a Classifier for Visual Navigation. ESSE 2020: 116-119 - [c48]Risako Aoki, Takuro Oki, Ryusuke Miyamoto:
Accuracy Improvement of Human Tracking in Aerial Images Using Error Correction Based on Color Information. ICSCA 2020: 124-128 - [c47]Takuma Hamagami, Shinsuke Hara, Yasutaka Kawamoto, Hiroyuki Yomo, Ryusuke Miyamoto, Hiroyuki Okuhata:
Summary of Experimental Results on Accurate Wireless Sensing System for a Group of Exercisers Spread in an Outdoor Ground. ISMICT 2020: 1-4 - [c46]Miho Adachi, Ryusuke Miyamoto:
Model-Based Estimation of Road Direction in Urban Scenes Using Virtual LiDAR Signals. SMC 2020: 4498-4503 - [c45]Shinsuke Hara, Takuma Hamagami, Yasutaka Kawamoto, Hiroyuki Yomo, Ryusuke Miyamoto, Hiroyuki Okuhata:
An Adaptive Superframe Change in a Wireless Vital Sensor Network for a Group of Outdoor Exercisers. VTC Fall 2020: 1-6
2010 – 2019
- 2019
- [c44]Shingo Kobayashi, Ryusuke Miyamoto:
Noise Reduction of Segmented Images by Spatio-Temporal Morphological Operations. APCCAS 2019: 297-300 - [c43]Ryusuke Miyamoto, Miho Adachi, Yuta Nakamura, Takeshi Nakajima, Hiroki Ishida, Shingo Kobayashi:
Accuracy Improvement of Semantic Segmentation Using Appropriate Datasets for Robot Navigation. CoDIT 2019: 1610-1615 - [c42]Ryusuke Miyamoto, Yuta Nakamura, Miho Adachi, Takeshi Nakajima, Hiroki Ishida, Kazuya Kojima, Risako Aoki, Takuro Oki, Shingo Kobayashi:
Vision-Based Road-Following Using Results of Semantic Segmentation for Autonomous Navigation. ICCE-Berlin 2019: 174-179 - [c41]Risako Aoki, Takeshi Nakajima, Takuro Oki, Ryusuke Miyamoto:
Accuracy Improvement of Fashion Style Estimation with Attention Control of a Classifier. ICCE-Berlin 2019: 289-294 - [c40]Ryusuke Miyamoto, Yuta Migita, Shunya Izumo, Shingo Kobayashi, Takuro Oki, Hiroyuki Yomo, Shinsuke Hara:
Implementation of a CG-Based Simulator to Evaluate Dynamic Relocation of UAVs in Image-Assisted Routing. ICCMS 2019: 254-258 - [c39]Takuro Oki, Risako Aoki, Shingo Kobayashi, Ryusuke Miyamoto, Hiroyuki Yomo, Shinsuke Hara:
Vision-based Detection of Humans on the Ground from Actual Aerial Images by Informed Filters using Only Color Features. icSPORTS 2019: 84-89 - [c38]Shinsuke Hara, Takunori Shimazaki, Takuma Hamagami, Yasutaka Kawamoto, Hiroyuki Yomo, Ryusuke Miyamoto, Hiroyuki Okuhata, Fumie Ono:
A Real-time Vital Data Collection System for a Group of Persons during a Variety of Sporting Activities in a Large Outdoor Ground. icSPORTS 2019: 138-145 - [c37]Hiroki Ishida, Kouchi Matsutani, Miho Adachi, Shingo Kobayashi, Ryusuke Miyamoto:
Intersection Recognition Using Results of Semantic Segmentation for Visual Navigation. ICVS 2019: 153-163 - [c36]Ryusuke Miyamoto, Takeshi Nakajima, Takuro Oki:
Accurate Fashion Style Estimation with a Novel Training Set and Removal of Unnecessary Pixels. ISCAS 2019: 1-5 - [c35]Risako Aoki, Takuro Oki, Hiro Yokokawa, Ryusuke Miyamoto:
A Computationally Efficient Tracking Scheme for Localization of Soccer Players in an Aerial Video Sequence. ISCSIC 2019: 13:1-13:6 - [c34]Masahiko Tsuyama, Takuro Oki, Shingo Kobayashi, Risako Aoki, Ryusuke Miyamoto, Hiroyuki Yomo, Shinsuke Hara:
Embedded Implementation of Human Detection Using Only Color Features on the NVIDIA Xavier. ISPACS 2019: 1-2 - [c33]Miho Adachi, Sara Shatari, Ryusuke Miyamoto:
Visual Navigation Using a Webcam Based on Semantic Segmentation for Indoor Robots. SITIS 2019: 15-21 - [c32]Takuro Oki, Shingo Kobayashi, Risako Aoki, Ryusuke Miyamoto:
CasNet: Cascaded Architecture for Visual Object Detection Working with Existing CNNs. SMC 2019: 1062-1067 - 2018
- [j12]Ryusuke Miyamoto, Risako Aoki:
Classification Accuracy of Personal Identification Based on Joint Motions Using 2D Information. J. Comput. 13(1): 49-57 (2018) - [c31]Shinsuke Hara, Takuma Hamagami, Yasutaka Kawamoto, Hiroyuki Yomo, Ryusuke Miyamoto, Takunori Shimazaki, Hiroyuki Okuhata, Fumie Ono, Kenichi Takizawa:
AccuWiSe: Accurate Wireless Vital Sensing System for a Group of Exercisers - Hardware Configuration. CHASE 2018: 9-10 - [c30]Takuma Hamagami, Yasutaka Kawamoto, Shinsuke Hara, Hiroyuki Yomo, Ryusuke Miyamoto, Takunori Shimazaki, Hiroyuki Okuhata, Fumie Ono, Kenichi Takizawa:
AccuWiSe: Accurate Wireless Vital Sensing System for a Group of Exercisers - System Performance. CHASE 2018: 11-12 - [c29]Takuma Hamagami, Yasutaka Kawamoto, Shinsuke Hara, Hiroyuki Yomo, Ryusuke Miyamoto, Takunori Shimazaki, Hiroyuki Okuhata:
Wireless Multi-Hop Networking for a Group of Exercisers Spread in a Sports Ground. HealthCom 2018: 1-6 - [c28]Shinsuke Hara, Ryusuke Miyamoto, Hiroyuki Yomo, Hirofumi Ogura:
Performance Prediction of Wireless Multi-Hop Networks Using Stored Data Sets for Persons during Exercises. ICT 2018: 649-654 - [c27]Hirofumi Ogura, Takuma Hamagami, Ryusuke Miyamoto, Hiroyuki Yomo, Shinsuke Hara:
A Network Simulator to Develop Wireless Networking Protocols Suited for Vital Information Collection from a Group of Exercisers. ISMICT 2018: 1-5 - [c26]Shintaro Yamazuchi, Atsushi Niino, Hirofumi Ogura, Hiroyuki Yomo, Ryusuke Miyamoto, Shinsuke Hara, Takashi Kawabata:
Applying Multi-Channel Flooding to Vital Data Monitoring of a Large Number of Exercisers: Mobility and Link Modeling and Performance Evaluation. ISMICT 2018: 1-5 - [c25]Shingo Kobayashi, Risako Aoki, Yuta Nakamura, Hiroki Ishida, Ryusuke Miyamoto:
Noise Reduction of Segmentation Results Using Spatio-Temporal Filtering for Robot Navigation. ISPACS 2018: 81-86 - [c24]Masahiko Tsuyama, Shuhei Aoki, Takuro Oki, Ryusuke Miyamoto:
Hardware Implementation of a Classifier Trained with Informed-Filters Using Only Color Features. ISPACS 2018: 319-324 - [c23]Ryusuke Miyamoto, Shingo Kobayashi, Takuro Oki, Hiroyuki Yomo, Shinsuke Hara:
Improved Pairwise Max Suppression Considering Total Number of Targets. SMC 2018: 2091-2095 - [c22]Shingo Kobayashi, Hiroyuki Kaseda, Ryusuke Miyamoto:
Robust Localization of Body Parts Based on Interframe Failure Correction. SMC 2018: 3903-3908 - 2017
- [j11]Shinsuke Hara, Hiroyuki Yomo, Ryusuke Miyamoto, Yasutaka Kawamoto, Hiroyuki Okuhata, Takashi Kawabata, Hajime Nakamura:
Challenges in Real-Time Vital Signs Monitoring for Persons During Exercises. Int. J. Wirel. Inf. Networks 24(2): 91-108 (2017) - [c21]Risako Aoki, Shun Aoki, Yakumo Ohtagaki, Ryusuke Miyamoto:
Key point localization for 3d model generation from facial illustrations using SURF and color features. ICCE-Berlin 2017: 55-56 - [c20]Yuki Uchibori, Tomohito Takubo, Atsushi Ueno, Kai Cai, Ryusuke Miyamoto, Shinsuke Hara:
Cooperative monitoring multiple humans using UAVs and fixed camera. MHS 2017: 1-4 - [c19]Takuro Oki, Ryusuke Miyamoto:
Efficient GPU Implementation of Informed-Filters for Fast Computation. PSIVT 2017: 302-313 - 2016
- [j10]Ryusuke Miyamoto, Shingo Kobayashi:
Object Detection Based on Image Blur Evaluated by Discrete Fourier Transform and Haar-Like Features. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(11): 1990-1999 (2016) - [c18]Ryusuke Miyamoto, Takuro Oki:
Soccer Player Detection with only Color Features Selected Using Informed Haar-like Features. ACIVS 2016: 238-249 - [c17]Risako Aoki, Ryusuke Miyamoto:
Personal identification based on feature extraction using motions of a reduced set of joints. CoDIT 2016: 40-45 - [c16]Ryusuke Miyamoto, Shingo Kobayashi:
Object Detection Based on Image Blur Using Spatial-Domain Filtering with Haar-Like Features. ISVC (1) 2016: 298-308 - 2014
- [j9]Jaehoon Yu, Ryusuke Miyamoto, Takao Onoye:
Corrections to "A Speed-Up Scheme Based on Multiple-Instance Pruning for Pedestrian Detection Using a Support Vector Machine". IEEE Trans. Image Process. 23(1): 478 (2014) - [c15]Ryusuke Miyamoto, Jaehoon Yu, Takao Onoye:
Normalized channel features for accurate pedestrian detection. ISCCSP 2014: 582-585 - 2013
- [j8]Jaehoon Yu, Ryusuke Miyamoto, Takao Onoye:
A Speed-Up Scheme Based on Multiple-Instance Pruning for Pedestrian Detection Using a Support Vector Machine. IEEE Trans. Image Process. 22(12): 4752-4761 (2013) - 2011
- [j7]Ryusuke Miyamoto, Hiroki Sugano:
Parallel Implementation Strategy for CoHOG-Based Pedestrian Detection Using a Multi-Core Processor. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 94-A(11): 2315-2322 (2011) - [j6]Ryusuke Miyamoto, Hiroki Sugano:
Optimized Implementation of Pedestrian Tracking Using Multiple Cues on GPU. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 94-A(11): 2323-2333 (2011) - 2010
- [j5]Hiroki Sugano, Ryusuke Miyamoto:
Highly optimized implementation of OpenCV for the Cell Broadband Engine. Comput. Vis. Image Underst. 114(11): 1273-1281 (2010) - [c14]Kenta Kubo, Shigeo Naoi, Yozo Takeda, Ryusuke Miyamoto, Takao Hara, Minoru Okada:
Compensations of Nonlinear Effects of TWTA for Signal Super-Positioning Satellite Communication Systems. PSATS 2010: 44-59
2000 – 2009
- 2009
- [j4]Hiroki Sugano, Hiroyuki Ochi, Yukihiro Nakamura, Ryusuke Miyamoto:
Hardware Accelerator for Run-Time Learning Adopted in Object Recognition with Cascade Particle Filter. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(11): 2801-2808 (2009) - [j3]Shoko Kuroda, Sho Tanaka, Shigeo Naoi, Yozo Takeda, Ryusuke Miyamoto, Takao Hara, Minoru Okada:
Development of an Interference Canceller in Satellite Communications Using a Multi-Level Modulation with Superposed Transmission. IEICE Trans. Commun. 92-B(11): 3354-3364 (2009) - [j2]Masayuki Hiromoto, Hiroki Sugano, Ryusuke Miyamoto:
Partially Parallel Architecture for AdaBoost-Based Detection With Haar-Like Features. IEEE Trans. Circuits Syst. Video Technol. 19(1): 41-52 (2009) - [c13]Masayuki Hiromoto, Ryusuke Miyamoto:
Hardware architecture for high-accuracy real-time pedestrian detection with CoHOG features. ICCV Workshops 2009: 894-899 - [c12]Hiroki Sugano, Ryusuke Miyamoto:
Parallel implementation of pedestrian tracking using multiple cues on GPGPU. ICCV Workshops 2009: 900-906 - [c11]Hiroki Sugano, Ryusuke Miyamoto:
Hardware implementation of a cascade particle filter. ICIP 2009: 3257-3260 - [c10]Masayuki Hiromoto, Ryusuke Miyamoto:
Cascade Classifier Using Divided CoHOG Features for Rapid Pedestrian Detection. ICVS 2009: 53-62 - [c9]Hiroki Sugano, Ryusuke Miyamoto:
Parallel Implementation of Good Feature Extraction for Tracking on the Cell Processor with OpenCV Interface. IIH-MSP 2009: 1326-1329 - [c8]Ryoji Kadota, Hiroki Sugano, Masayuki Hiromoto, Hiroyuki Ochi, Ryusuke Miyamoto, Yukihiro Nakamura:
Hardware Architecture for HOG Feature Extraction. IIH-MSP 2009: 1330-1333 - 2008
- [c7]Hiroki Sugano, Ryusuke Miyamoto:
Parallel implementation of morphological processing by arbitrary kernels on Cell/BE with OpenCV interface. APCCAS 2008: 1580-1583 - 2007
- [j1]Ryusuke Miyamoto, Jumpei Ashida, Hiroshi Tsutsui, Yukihiro Nakamura:
Stochastic Pedestrian Tracking Based on 6-Stick Skeleton Model. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(3): 606-617 (2007) - [c6]Masayuki Hiromoto, Kentaro Nakahara, Hiroki Sugano, Yukihiro Nakamura, Ryusuke Miyamoto:
A Specialized Processor Suitable for AdaBoost-Based Detection with Haar-like Features. CVPR 2007 - [c5]Hiroki Sugano, Ryusuke Miyamoto:
A Real-Time Object Recognition System on Cell Broadband Engine. PSIVT 2007: 932-943 - 2006
- [c4]Jumpei Ashida, Ryusuke Miyamoto, Hiroshi Tsutsui, Takao Onoye, Yukihiro Nakamura:
Probabilistic Pedestrian Tracking Based on a Skeleton Model. ICIP 2006: 2825-2828 - [c3]Ryusuke Miyamoto, Hiroki Sugano, Hiroaki Saito, Hiroshi Tsutsui, Hiroyuki Ochi, Ken'ichi Hatanaka, Yukihiro Nakamura:
Pedestrian Recognition in Far-Infrared Images by Combining Boosting-Based Detection and Skeleton-Based Stochastic Tracking. PSIVT 2006: 483-494 - 2005
- [c2]Ryusuke Miyamoto, Hiroaki Sugita, Yoshiteru Hayashi, Hiroshi Tsutsui, Takahiko Masuzaki, Takao Onoye, Yukihiro Nakamura:
High quality Motion JPEG2000 coding scheme based on the human visual system. ISCAS (3) 2005: 2096-2099 - 2002
- [c1]Toshiyuki Kaya, Isao Shirakawa, Ryusuke Miyamoto, Takao Onoye:
Design of Embedded System for Video Coding with Logic-Enhanced DRAM and Configurable Process. MTDT 2002
Coauthor Index
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