Design of Embedded System for Video Coding with Logic-Enhanced DRAM and Configurable Process. - Toshiyuki Kaya; Isao Shirakawa; Ryusuke Miyamoto; Takao Onoye (MTDT, 2002)

High quality Motion JPEG2000 coding scheme based on the human visual system. - Ryusuke Miyamoto; Hiroaki Sugita; Yoshiteru Hayashi; Hiroshi Tsutsui; Takahiko Masuzaki; Takao Onoye; Yukihiro Nakamura (ISCAS (3), 2005)

Probabilistic Pedestrian Tracking Based on a Skeleton Model. - Jumpei Ashida; Ryusuke Miyamoto; Hiroshi Tsutsui; Takao Onoye; Yukihiro Nakamura (ICIP, 2006)

Pedestrian Recognition in Far-Infrared Images by Combining Boosting-Based Detection and Skeleton-Based Stochastic Tracking. - Ryusuke Miyamoto; Hiroki Sugano; Hiroaki Saito; Hiroshi Tsutsui; Hiroyuki Ochi; Ken'ichi Hatanaka; Yukihiro Nakamura (PSIVT, 2006)

A Specialized Processor Suitable for AdaBoost-Based Detection with Haar-like Features. - Masayuki Hiromoto; Kentaro Nakahara; Hiroki Sugano; Yukihiro Nakamura; Ryusuke Miyamoto (CVPR, 2007)

A Real-Time Object Recognition System on Cell Broadband Engine. - Hiroki Sugano; Ryusuke Miyamoto (PSIVT, 2007)

Stochastic Pedestrian Tracking Based on 6-Stick Skeleton Model. - Ryusuke Miyamoto; Jumpei Ashida; Hiroshi Tsutsui; Yukihiro Nakamura (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007)

Parallel implementation of morphological processing by arbitrary kernels on Cell/BE with OpenCV interface. - Hiroki Sugano; Ryusuke Miyamoto (APCCAS, 2008)

Hardware architecture for high-accuracy real-time pedestrian detection with CoHOG features. - Masayuki Hiromoto; Ryusuke Miyamoto (ICCV Workshops, 2009)

Parallel implementation of pedestrian tracking using multiple cues on GPGPU. - Hiroki Sugano; Ryusuke Miyamoto (ICCV Workshops, 2009)

Hardware implementation of a cascade particle filter. - Hiroki Sugano; Ryusuke Miyamoto (ICIP, 2009)

Cascade Classifier Using Divided CoHOG Features for Rapid Pedestrian Detection. - Masayuki Hiromoto; Ryusuke Miyamoto (ICVS, 2009)

Hardware Architecture for HOG Feature Extraction. - Ryoji Kadota; Hiroki Sugano; Masayuki Hiromoto; Hiroyuki Ochi; Ryusuke Miyamoto; Yukihiro Nakamura (IIH-MSP, 2009)

Parallel Implementation of Good Feature Extraction for Tracking on the Cell Processor with OpenCV Interface. - Hiroki Sugano; Ryusuke Miyamoto (IIH-MSP, 2009)

Development of an Interference Canceller in Satellite Communications Using a Multi-Level Modulation with Superposed Transmission. - Shoko Kuroda; Sho Tanaka; Shigeo Naoi; Yozo Takeda; Ryusuke Miyamoto; Takao Hara; Minoru Okada (IEICE Trans. Commun., 2009)

Hardware Accelerator for Run-Time Learning Adopted in Object Recognition with Cascade Particle Filter. - Hiroki Sugano; Hiroyuki Ochi; Yukihiro Nakamura; Ryusuke Miyamoto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

Partially Parallel Architecture for AdaBoost-Based Detection With Haar-Like Features. - Masayuki Hiromoto; Hiroki Sugano; Ryusuke Miyamoto (IEEE Trans. Circuits Syst. Video Technol., 2009)

Compensations of Nonlinear Effects of TWTA for Signal Super-Positioning Satellite Communication Systems. - Kenta Kubo; Shigeo Naoi; Yozo Takeda; Ryusuke Miyamoto; Takao Hara; Minoru Okada (PSATS, 2010)

Highly optimized implementation of OpenCV for the Cell Broadband Engine. - Hiroki Sugano; Ryusuke Miyamoto (Comput. Vis. Image Underst., 2010)

Parallel Implementation Strategy for CoHOG-Based Pedestrian Detection Using a Multi-Core Processor. - Ryusuke Miyamoto; Hiroki Sugano (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011)

Optimized Implementation of Pedestrian Tracking Using Multiple Cues on GPU. - Ryusuke Miyamoto; Hiroki Sugano (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011)

A Speed-Up Scheme Based on Multiple-Instance Pruning for Pedestrian Detection Using a Support Vector Machine. - Jaehoon Yu; Ryusuke Miyamoto; Takao Onoye (IEEE Trans. Image Process., 2013)

Normalized channel features for accurate pedestrian detection. - Ryusuke Miyamoto; Jaehoon Yu; Takao Onoye (ISCCSP, 2014)

Corrections to "A Speed-Up Scheme Based on Multiple-Instance Pruning for Pedestrian Detection Using a Support Vector Machine". - Jaehoon Yu; Ryusuke Miyamoto; Takao Onoye (IEEE Trans. Image Process., 2014)

Soccer Player Detection with only Color Features Selected Using Informed Haar-like Features. - Ryusuke Miyamoto; Takuro Oki (ACIVS, 2016)

Personal identification based on feature extraction using motions of a reduced set of joints. - Risako Aoki; Ryusuke Miyamoto (CoDIT, 2016)

Object Detection Based on Image Blur Using Spatial-Domain Filtering with Haar-Like Features. - Ryusuke Miyamoto; Shingo Kobayashi (ISVC (1), 2016)

Object Detection Based on Image Blur Evaluated by Discrete Fourier Transform and Haar-Like Features. - Ryusuke Miyamoto; Shingo Kobayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Key point localization for 3d model generation from facial illustrations using SURF and color features. - Risako Aoki; Shun Aoki; Yakumo Ohtagaki; Ryusuke Miyamoto (ICCE-Berlin, 2017)

Cooperative monitoring multiple humans using UAVs and fixed camera. - Yuki Uchibori; Tomohito Takubo; Atsushi Ueno; Kai Cai; Ryusuke Miyamoto; Shinsuke Hara (MHS, 2017)

Efficient GPU Implementation of Informed-Filters for Fast Computation. - Takuro Oki; Ryusuke Miyamoto (PSIVT, 2017)

Challenges in Real-Time Vital Signs Monitoring for Persons During Exercises. - Shinsuke Hara; Hiroyuki Yomo; Ryusuke Miyamoto; Yasutaka Kawamoto; Hiroyuki Okuhata; Takashi Kawabata; Hajime Nakamura (Int. J. Wirel. Inf. Networks, 2017)

AccuWiSe: Accurate Wireless Vital Sensing System for a Group of Exercisers - System Performance. - Takuma Hamagami; Yasutaka Kawamoto; Shinsuke Hara; Hiroyuki Yomo; Ryusuke Miyamoto; Takunori Shimazaki; Hiroyuki Okuhata; Fumie Ono; Kenichi Takizawa (CHASE, 2018)

AccuWiSe: Accurate Wireless Vital Sensing System for a Group of Exercisers - Hardware Configuration. - Shinsuke Hara; Takuma Hamagami; Yasutaka Kawamoto; Hiroyuki Yomo; Ryusuke Miyamoto; Takunori Shimazaki; Hiroyuki Okuhata; Fumie Ono; Kenichi Takizawa (CHASE, 2018)

Wireless Multi-Hop Networking for a Group of Exercisers Spread in a Sports Ground. - Takuma Hamagami; Yasutaka Kawamoto; Shinsuke Hara; Hiroyuki Yomo; Ryusuke Miyamoto; Takunori Shimazaki; Hiroyuki Okuhata (HealthCom, 2018)

Performance Prediction of Wireless Multi-Hop Networks Using Stored Data Sets for Persons during Exercises. - Shinsuke Hara; Ryusuke Miyamoto; Hiroyuki Yomo; Hirofumi Ogura (ICT, 2018)

A Network Simulator to Develop Wireless Networking Protocols Suited for Vital Information Collection from a Group of Exercisers. - Hirofumi Ogura; Takuma Hamagami; Ryusuke Miyamoto; Hiroyuki Yomo; Shinsuke Hara (ISMICT, 2018)

Applying Multi-Channel Flooding to Vital Data Monitoring of a Large Number of Exercisers: Mobility and Link Modeling and Performance Evaluation. - Shintaro Yamazuchi; Atsushi Niino; Hirofumi Ogura; Hiroyuki Yomo; Ryusuke Miyamoto; Shinsuke Hara; Takashi Kawabata (ISMICT, 2018)

Noise Reduction of Segmentation Results Using Spatio-Temporal Filtering for Robot Navigation. - Shingo Kobayashi; Risako Aoki; Yuta Nakamura; Hiroki Ishida; Ryusuke Miyamoto (ISPACS, 2018)

Hardware Implementation of a Classifier Trained with Informed-Filters Using Only Color Features. - Masahiko Tsuyama; Shuhei Aoki; Takuro Oki; Ryusuke Miyamoto (ISPACS, 2018)

Robust Localization of Body Parts Based on Interframe Failure Correction. - Shingo Kobayashi; Hiroyuki Kaseda; Ryusuke Miyamoto (SMC, 2018)

Improved Pairwise Max Suppression Considering Total Number of Targets. - Ryusuke Miyamoto; Shingo Kobayashi; Takuro Oki; Hiroyuki Yomo; Shinsuke Hara (SMC, 2018)

Classification Accuracy of Personal Identification Based on Joint Motions Using 2D Information. - Ryusuke Miyamoto; Risako Aoki (J. Comput., 2018)

Noise Reduction of Segmented Images by Spatio-Temporal Morphological Operations. - Shingo Kobayashi; Ryusuke Miyamoto (APCCAS, 2019)

Accuracy Improvement of Semantic Segmentation Using Appropriate Datasets for Robot Navigation. - Ryusuke Miyamoto; Miho Adachi; Yuta Nakamura; Takeshi Nakajima; Hiroki Ishida; Shingo Kobayashi (CoDIT, 2019)

Accuracy Improvement of Fashion Style Estimation with Attention Control of a Classifier. - Risako Aoki; Takeshi Nakajima; Takuro Oki; Ryusuke Miyamoto (ICCE-Berlin, 2019)

Vision-Based Road-Following Using Results of Semantic Segmentation for Autonomous Navigation. - Ryusuke Miyamoto; Yuta Nakamura; Miho Adachi; Takeshi Nakajima; Hiroki Ishida; Kazuya Kojima; Risako Aoki; Takuro Oki; Shingo Kobayashi (ICCE-Berlin, 2019)

Implementation of a CG-Based Simulator to Evaluate Dynamic Relocation of UAVs in Image-Assisted Routing. - Ryusuke Miyamoto; Yuta Migita; Shunya Izumo; Shingo Kobayashi; Takuro Oki; Hiroyuki Yomo; Shinsuke Hara (ICCMS, 2019)

A Real-time Vital Data Collection System for a Group of Persons during a Variety of Sporting Activities in a Large Outdoor Ground. - Shinsuke Hara; Takunori Shimazaki; Takuma Hamagami; Yasutaka Kawamoto; Hiroyuki Yomo; Ryusuke Miyamoto; Hiroyuki Okuhata; Fumie Ono (icSPORTS, 2019)

Vision-based Detection of Humans on the Ground from Actual Aerial Images by Informed Filters using Only Color Features. - Takuro Oki; Risako Aoki; Shingo Kobayashi; Ryusuke Miyamoto; Hiroyuki Yomo; Shinsuke Hara (icSPORTS, 2019)

Intersection Recognition Using Results of Semantic Segmentation for Visual Navigation. - Hiroki Ishida; Kouchi Matsutani; Miho Adachi; Shingo Kobayashi; Ryusuke Miyamoto (ICVS, 2019)

Accurate Fashion Style Estimation with a Novel Training Set and Removal of Unnecessary Pixels. - Ryusuke Miyamoto; Takeshi Nakajima; Takuro Oki (ISCAS, 2019)

A Computationally Efficient Tracking Scheme for Localization of Soccer Players in an Aerial Video Sequence. - Risako Aoki; Takuro Oki; Hiro Yokokawa; Ryusuke Miyamoto (ISCSIC, 2019)

Embedded Implementation of Human Detection Using Only Color Features on the NVIDIA Xavier. - Masahiko Tsuyama; Takuro Oki; Shingo Kobayashi; Risako Aoki; Ryusuke Miyamoto; Hiroyuki Yomo; Shinsuke Hara (ISPACS, 2019)

Visual Navigation Using a Webcam Based on Semantic Segmentation for Indoor Robots. - Miho Adachi; Sara Shatari; Ryusuke Miyamoto (SITIS, 2019)

CasNet: Cascaded Architecture for Visual Object Detection Working with Existing CNNs. - Takuro Oki; Shingo Kobayashi; Risako Aoki; Ryusuke Miyamoto (SMC, 2019)

Generation of Datasets for Semantic Segmentation from 3D Scanned Data to Train a Classifier for Visual Navigation. - Hayato Komatsuzaki; Raimu Yokota; Shogo Sakata; Miho Adachi; Ryusuke Miyamoto (ESSE, 2020)

Accuracy Improvement of Human Tracking in Aerial Images Using Error Correction Based on Color Information. - Risako Aoki; Takuro Oki; Ryusuke Miyamoto (ICSCA, 2020)

Summary of Experimental Results on Accurate Wireless Sensing System for a Group of Exercisers Spread in an Outdoor Ground. - Takuma Hamagami; Shinsuke Hara; Yasutaka Kawamoto; Hiroyuki Yomo; Ryusuke Miyamoto; Hiroyuki Okuhata (ISMICT, 2020)

Model-Based Estimation of Road Direction in Urban Scenes Using Virtual LiDAR Signals. - Miho Adachi; Ryusuke Miyamoto (SMC, 2020)

An Adaptive Superframe Change in a Wireless Vital Sensor Network for a Group of Outdoor Exercisers. - Shinsuke Hara; Takuma Hamagami; Yasutaka Kawamoto; Hiroyuki Yomo; Ryusuke Miyamoto; Hiroyuki Okuhata (VTC Fall, 2020)

Performance Prediction of Wireless Vital Data Collection System for Exercisers by a Network Simulator. - Takuma Hamagami; Shinsuke Hara; Hiroyuki Yomo; Ryusuke Miyamoto; Yasutaka Kawamoto; Takunori Shimazaki; Hiroyuki Okuhata (IEICE Trans. Commun., 2020)

Visual Navigation Based on Semantic Segmentation Using Only a Monocular Camera as an External Sensor. - Ryusuke Miyamoto; Miho Adachi; Hiroki Ishida; Takuto Watanabe; Kouchi Matsutani; Hayato Komatsuzaki; Shogo Sakata; Raimu Yokota; Shingo Kobayashi (J. Robotics Mechatronics, 2020)

A Study on Accuracy Improvement of Small Object Detection Using Deep Neural Networks. - Junya Morioka; Ryusuke Miyamoto (APCCAS, 2021)

Feasibility Study of an Image-based Supporting System for Sprint Training. - Shiho Hanashiro; Motoki Takematsu; Ryusuke Miyamoto (icSPORTS, 2021)

Testing Environment for Developing a Wireless Networking System based on Image-assisted Routing for Sports Applications. - Shiho Hanashiro; Junfeng Xue; Junya Morioka; Ryusuke Miyamoto; Takuma Hamagami; Kentaro Yanagihara; Yasutaka Kawamoto; Hiroyuki Okuhata; Hiroyuki Yomo; Tomohito Takubo (icSPORTS, 2021)

Inspection of unexpected defective products by semi-supervised learning based on a probability density function in high-yield food production. - Masahiro Nakahara; Yuichi Mashiba; Ryusuke Miyamoto; Yuki Fujita; Hisashi Ishida; Keiichi Zempo (IEEE Big Data, 2022)

Improvement of Visual Odometry Using Classic Features by Semantic Information. - Miho Adachi; Hiroki Ishida; Ryusuke Miyamoto (CoDIT, 2022)

Accuracy Improvement of Semantic Segmentation Trained with Data Generated from a 3D Model by Histogram Matching Using Suitable References. - Miho Adachi; Hayato Komatsuzaki; Marin Wada; Ryusuke Miyamoto (SMC, 2022)

Effect of Varied Datasets on Training of a Segmentation Model Used in Visual Navigation. - Marin Wada; Miho Adachi; Ryusuke Miyamoto (IEEE Big Data, 2023)

Does a Dense Point Cloud for Training Data Generation Improve Segmentation Accuracy? - Marin Wada; Hiroaki Sudo; Miho Adachi; Ryusuke Miyamoto (IEEE Big Data, 2023)

Improvement of Visual Odometry Based on Robust Feature Extraction Considering Semantics. - Miho Adachi; Junfeng Xue; Kazufumi Honda; Marin Wada; Ryusuke Miyamoto (CoDIT, 2023)

Dataset Genreratoin for Semantic Segmentation from 3D Scanned Data Considering Domain Gap. - Marin Wada; Miho Adachi; Yuriko Ueda; Ryusuke Miyamoto (CoDIT, 2023)

Dataset Creation for Segmentation to Enhance Visual Navigation in a Targeted Indoor Environment. - Yuriko Ueda; Marin Wada; Miho Adachi; Ryusuke Miyamoto (SITIS, 2023)

Correspondence Between SWIR and MWIR Images Using Augmentation and Preprocessing for Registration. - Takeru Inoue; Michiya Kibe; Ryusuke Miyamoto (TENCON, 2023)

Turning at Intersections Using Virtual LiDAR Signals Obtained from a Segmentation Result. - Miho Adachi; Kazufumi Honda; Ryusuke Miyamoto (J. Robotics Mechatronics, 2023)

Practical Implementation of Visual Navigation Based on Semantic Segmentation for Human-Centric Environments. - Miho Adachi; Kazufumi Honda; Junfeng Xue; Hiroaki Sudo; Yuriko Ueda; Yuki Yuda; Marin Wada; Ryusuke Miyamoto (J. Robotics Mechatronics, 2023)

Data Augmentation for Semantic Segmentation Using a Real Image Dataset Captured Around the Tsukuba City Hall. - Yuriko Ueda; Miho Adachi; Junya Morioka; Marin Wada; Ryusuke Miyamoto (J. Robotics Mechatronics, 2023)

Dataset Creation for Semantic Segmentation Using Colored Point Clouds Considering Shadows on Traversable Area. - Marin Wada; Yuriko Ueda; Junya Morioka; Miho Adachi; Ryusuke Miyamoto (J. Robotics Mechatronics, 2023)

Spatiotemporal Pooling on Appropriate Topological Maps Represented as Two-Dimensional Images for EEG Classification. - Takuto Fukushima; Ryusuke Miyamoto (ACCV (2), 2024)

Area-wise Augmentation on Segmentation Datasets from 3D Scanned Data Used for Visual Navigation. - Marin Wada; Yuriko Ueda; Miho Adachi; Ryusuke Miyamoto (CoDIT, 2024)

Improving Resolution of Translated Infrared Images. - Michiya Kibe; Takeru Inoue; Junya Morioka; Ryusuke Miyamoto (IEEE SENSORS, 2024)

Creation of Day-Night Visible-Thermal Paired Image Dataset via Image Registration. - Michiya Kibe; Takeru Inoue; Junya Morioka; Ryusuke Miyamoto (IRC, 2024)

Personal Identification Based on Joint Motions with Error Correction Using Particle Filter. - Kosuke Aoyagi; Yuki Yuda; Masakazu Ohkoba; Miho Adachi; Ryusuke Miyamoto (ISPACS, 2024)

Personal Identification Based on Joint Motions with Normalization against Size Changes of Targets. - Yuki Yuda; Miho Adachi; Sho Kamiya; Kosuke Aoyagi; Ryusuke Miyamoto (ISPACS, 2024)

Score Calculation with Local and Global Features for Visual Place Recognition. - Iori Ikeda; Miho Adachi; Ryusuke Miyamoto (TENCON, 2024)

Shape-Centric Augmentation with Strong Pre- Training for Training from Rendered Images. - Takeru Inoue; Masakazu Ohkoba; Kouji Gakuta; Etsuji Yamada; Aoi Kariya; Masakazu Kinosada; Yujiro Kitaide; Ryusuke Miyamoto (TENCON, 2024)

Semantic Edge Extraction by Logical Operations for Room Structure Estimation Using a Segmentation Result. - Ryusuke Miyamoto; Kae Nakayama; Junya Morioka; Miho Adachi (XR (1), 2025)

Effect of Human-Selected Hard Examples to Improve Accuracy of Semantic Segmentation. - Yuriko Ueda; Marin Wada; Miho Adachi; Ryusuke Miyamoto (DSN-S, 2025)

FastInstShadow: A Simple Query-Based Model for Instance Shadow Detection. - Takeru Inoue; Ryusuke Miyamoto (CoRR, 2025)