Publications
Research Outputs
Research outputs since the laboratory was established, together with relevant earlier publications by the principal investigator.
2026
11 outputsPhysics-Guided Monocular Depth Estimation in Colonoscopy via Privileged Illumination Information
Hara, Keisuke, Tsuboi, Ayato, Fukui, Shinji, Kato, Shunsuke, Ono, Satoshi, Takahama, Takuya, Ebi, Masahide, Ogasawara, Naotaka, Kasugai, Kunio, Usami, Hiroyasu
2026 19th International Conference on Machine Vision (ICMV 2026), 2026.10
Presented at ICMV 2026; Paper ID M045; conference held October 15-18, 2026, Budapest, Hungary
Dynamic BGP Route Control Based on Real-Time Performance Information Using an LLM with a Verification Mechanism
Combines LLM-based decisions with a verification mechanism to study network route control using real-time performance information.
Tsunogai, Kento, Yamasaki, Shugo, Kawabe, Kaito, Usami, Hiroyasu
Proceedings of the 2026 Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering, 2026.08
2B-2-7, p. 154, Network Systems, August 30, 2026
Efficient 2D Human Pose Estimation via Token Compression and Cross-Attention Restoration
Studies efficient human pose estimation by compressing image tokens and reconstructing information through cross-attention.
Hashizume, Wataru, Usami, Hiroyasu
Proceedings of the 2026 Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering, 2026.08
1C-3-3, p. 188, Computer Vision and Image Media, August 30, 2026
Lesion-Wise Selection of Clinical-Attribute Fusion Stages for Dermoscopic Image Classification
Studies lesion-wise selection of the stage at which clinical attributes are combined with dermoscopic image features.
Izuhara, Keima, Usami, Hiroyasu
Proceedings of the 60th Tokai Fuzzy Workshop in Toyohashi (Gamaken 2026), 2026.08
S2-03, pp. 12-13, August 19, 2026
Reflectance Decomposition and 3D Shape Reconstruction via Self-Supervised Single-Image Inverse Rendering with Relighting Constraints
Uses relighting consistency during training to study shape and reflectance estimation from a single image.
Hara, Keisuke, Usami, Hiroyasu
Proceedings of the 60th Tokai Fuzzy Workshop in Toyohashi (Gamaken 2026), 2026.08
S3-03, pp. 15-16, Best Presentation Award, August 19, 2026
2D Human Pose Estimation via Compressed Token Learning with Structural Consistency
Studies human pose estimation with compressed image tokens while considering structural consistency.
Hashizume, Wataru, Usami, Hiroyasu
Meeting on Image Recognition and Understanding (MIRU 2026), 2026.08
IS3-171, Paper ID 366, Interactive Session IS3, 2026-08-06
LLM Judges Have Dark Current: Stratified Null and Utility Tests for LLM Judge Reliability
A study of LLM judge output validity, preferences between identical answers, and target-selection utility. Code and supporting records for the revised version are available on GitHub.
Usami, Hiroyasu, Hara, Keisuke, Tsuboi, Ayato, Matsuda, Naohiko
arXiv, 2026.06
arXiv:2606.15610v2 [cs.CL]; revised October 13, 2026 (JST); 21 pages, 4 figures; code and supporting records available on GitHub
AI Arteriosclerosis Diagnosis System Using RLHF and Adversarial Attack: Quantitative Evaluation of IMT Extraction Robustness by Adversarial Learning
Studies carotid ultrasound wall-region extraction using human-feedback learning and robustness evaluation under adversarial inputs.
Usami, Hiroyasu
Journal of Comprehensive Engineering, 2026.03
Vol. 38, pp. 1-11
Anatomy-Preserving Diffusion-Based Data Augmentation for Medical Image Segmentation
Studies medical segmentation data augmentation with anatomical controls and selection of generated images.
Tominari, Hiroki, Nakayama, Natsuki, Arakawa, Naoko, Usami, Hiroyasu
Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies -- BIOIMAGING, 2026
BIOIMAGING 2026
O(V) Computational Optimization and Physics-informed STGNN for Building IoT Simulation
Studies building IoT prediction by combining graph sparsification for efficient computation with physical operational constraints.
Tajima, Koichiro, Usami, Hiroyasu
IEICE Technical Report, 2026.01
EST2025-95, 2026-01-23
2025
7 outputsA Stabilization Method for Automatic Educational Question Generation Based on Self-consistency in Chain-of-Thought Reasoning
Studies automatic generation of educational questions using self-consistency in chain-of-thought reasoning.
Shimotsuji, Nayuta, Usami, Hiroyasu, Nakane, Jin
23rd Workshop on Informatics (WiNF 2025), 2025
P1A-3
Rain-effect Removal and Weather Estimation for Outdoor Images Using Rain Artifact Separation Learning
Studies separation of rain artifacts in outdoor images for image restoration and weather estimation.
Kikuta, Manato, Hashizume, Wataru, Usami, Hiroyasu
23rd Workshop on Informatics (WiNF 2025), 2025
P1A-31
Verification of Semantic Biosynthesis in Image Generative AI Through a Modality Conversion-based Generation and Verification Cycle
Studies semantic correspondence in generated images through a generation-and-verification cycle across modalities.
Izuhara, Keima, Tominari, Hiroki, Usami, Hiroyasu
23rd Workshop on Informatics (WiNF 2025), 2025
P1A-30
Data Augmentation for Retinal Image Segmentation Based on Ground-truth Mask Images
Studies augmentation for retinal image segmentation using ground-truth masks as a guide.
Tominari, Hiroki, Usami, Hiroyasu
Proceedings of the 2025 Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering, 2025.09
2025-09-18; program title variant: Data augmentation for retinal image segmentation based on ground-truth masks
Application of a Fully Connected Spatio-Temporal GNN Structure for Day-of-week Classification Based on Communication Logs
Studies weekday classification from communication logs using a fully connected spatiotemporal graph neural network.
Tajima, Koichiro, Nakashima, Yuki, Usami, Hiroyasu
Proceedings of the 2025 Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering, 2025.09
G3-6, 2025-09-18
Efficient Automatic IMT Region Extraction Using MobileNetV3 and SegNet for Mobile Carotid Ultrasound Imaging
A conference abstract combining MobileNetV3 image classification with SegNet segmentation to examine efficient carotid ultrasound analysis.
Usami, Hiroyasu, Nakayama, Natsuki, Arakawa, Naoko
BIOIMAGING 2025, 2025
BIOIMAGING25-367: Abstract, 20 min oral presentation
Inverse Rendering Using Single-view Polarization Cues and Shape Guidance Under Ambient Light
Studies inverse rendering under ambient light using single-view polarization cues and shape guidance.
Tsuboi, Ayato, Usami, Hiroyasu
Meeting on Image Recognition and Understanding (MIRU 2025), 2025
IS1-016
2024
3 outputsA Study of Purpose-oriented Prompts for Image Generative AI
Studies how to design image-generation prompts around the intended objective.
Fukuoka, Reiya, Tominari, Hiroki, Usami, Hiroyasu, Iwahori, Yuji
Proceedings of the 55th Tokai Fuzzy Workshop, Japan Society for Fuzzy Theory and Intelligent Informatics, 2024
P1-07
SegNet-based IMT Region Segmentation in Carotid Ultrasound Images
Studies segmentation of carotid wall regions in ultrasound images using SegNet.
Doi, Mizuki, Usami, Hiroyasu, Nakayama, Natsuki, Arakawa, Naoko
Proceedings of the 56th Tokai Fuzzy Workshop, 2024.08
2024-08-05
Development of an Information-Sharing System to Bridge the Information Gap Among Health Professionals in the Thai Rural Community
Studies development of an information-sharing system to address information gaps among rural Thai health professionals.
Arakawa, Naoko, Phunthawee, Patcharin, Nakayama, Natsuki, Usami, Hiroyasu, Ota, Katsumasa, Suzuki, Yuri
27th East Asian Forum of Nursing Scholars, 2024
EAFONS 2024
2023
5 outputsRecommending Learning Actions Using Neural Network
A study of learning-action recommendations evaluated through changes in a grade predictor's outputs when activity logs are modified.
Kohama, Hirokazu, Ban, Yuki, Hirakawa, Tsubasa, Yamashita, Takayoshi, Fujiyoshi, Hironobu, Itai, Akitoshi, Usami, Hiroyasu
Proceedings of the 31st International Conference on Computers in Education, 2023
ICCE 2023
Research and Evaluation of Effective Prompts for Stable Diffusion-based AI Image Generation Tools
Studies prompt design and evaluation for Stable Diffusion-based image generation.
Tominari, Hiroki, Fukuoka, Reiya, Usami, Hiroyasu
21st Workshop on Informatics (WiNF 2023), 2023
S3C-4
Image Processing-based Support System for Recognizing Dangerous Worker Actions and Preventing Machine Accidents
Studies image-based recognition of hazardous worker actions as a basis for machinery-accident prevention support.
Hashizume, Wataru, Usami, Hiroyasu, Noguchi, Yusuke, Tsuchida, Hiroyuki, Iwahori, Yuji
21st Workshop on Informatics (WiNF 2023), 2023
S2A-1
Establishing a Reciprocal Self-organization Mechanism for Extracting Simplified Information in Deep Learning
Studies reciprocal organization mechanisms for extracting compact information representations in deep learning.
Usami, Hiroyasu
Journal of Comprehensive Engineering, 2023.03
Vol. 35, pp. 1-10
Sample-region Extraction in Biomass Ash Dissolution Image Data Using Time-series Information
Studies region extraction from biomass-ash melting images using temporal information.
Yamane, Haruki, Usami, Hiroyasu, Suzuki, Yuri, Ninomiya, Yoshihiko
IEICE Technical Report, 2023
EST2022-87
2022
6 outputsShape Classification of Fly Ash Particles Using Deep Learning
Studies classification of fly-ash particle shapes using deep learning.
Ninomiya, Yoshihiko, Jiang, Yanchi, Nakamura, Taichi, Usami, Hiroyasu, Mori, Takehito, Naganuma, Hiroshi, Sawada, Akihiro
Proceedings of the Conference on Coal Science, 2022
No. 59, pp. 20-21
A Study on Biomass Ash Melting Test Methods and Their Interpretation
Examines testing methods and interpretation of biomass-ash melting behavior.
Ninomiya, Yoshihiko, Sato, Ryuma, Usami, Hiroyasu, Hoshino, Hiroki
Proceedings of the Conference on Biomass Science, 2022
O-18
Adaptive Virtualization Environment Using Edge Computing
Studies the design of an adaptive virtualization environment using edge computing.
Hayashi, Yuto, Yamane, Haruki, Usami, Hiroyasu
20th Workshop on Informatics (WiNF 2022), 2022
S-1B-5
A Text-to-image Model Considering Latent Information Specific to Japanese
Studies text-to-image modeling that considers information specific to the Japanese language.
Fukuoka, Reiya, Yamazaki, Daiki, Yamane, Haruki, Usami, Hiroyasu, Suzuki, Yuri
20th Workshop on Informatics (WiNF 2022), 2022
S-4A-7
Coal Image Segmentation Using an Attention Mechanism Considering Relationships Between Coal and Included Minerals
Studies coal-image segmentation with attention to relationships between coal and embedded minerals.
Tajima, Koichiro, Doi, Mizuki, Usami, Hiroyasu, Ninomiya, Yoshihiko
20th Workshop on Informatics (WiNF 2022), 2022
S-4B-10
Improvement of Polyp Detection using MUNIT for Image Generation
A study augmenting polyp-detector training with NBI-like images generated from white-light endoscopy.
Iwahori, Yuji, Ooto, Tsubasa, Usami, Hiroyasu, Fukui, Shinji, Bhuyan, M. K., Wang, Aili, Ogasawara, Naotaka, Kasugai, Kunio
Procedia Computer Science, 2022
KES 2022
2019
1 outputPolyp Shape Recovery from Single Endoscope Image using Medical Suture
A study using a known-diameter suture and a lighting model to estimate approximate polyp shape and absolute scale from one endoscope image.
Usami, Hiroyasu, Iwahori, Yuji, Wang, Aili, Bhuyan, M. K., Ogasawara, Naotaka, Kasugai, Kunio
The Open Bioinformatics Journal, 2019.01
Vol. 12, No. 1, pp. 1–17
2017
1 outputRecovering Polyp Shape from an Endoscope Image Using Two Light Sources
A study combining a two-light photometric model with learned normal correction to estimate depth and shape from endoscope imagery.
Usami, Hiroyasu, Iwahori, Yuji, Hanai, Yuki, Kijsirikul, Boonserm, Kasugai, Kunio
International Journal of Software Innovation, 2017.04
Vol. 5, No. 2, pp. 33–54
Career Research Outputs
Hiroyasu Usami
Dept. of Computer Science, College of Engineering, Chubu University
- Research outputs
- 122
- Awards
- 8