Department of Computer Science, College of Engineering, Chubu University

Usami Laboratory

Understanding the world from images

We study image processing, computer vision, and machine learning, with applications in medicine, manufacturing, social infrastructure, and real-world sensing.

Usami Laboratory outcomes

Since the laboratory was founded in April 2022; research outputs documented on this site. Awards follow the recipients named in certificates or official announcements.

PI HIROYASU USAMI

120research outputs

Full-career record as of 2026-08-19; includes one accepted, forthcoming output.

AWARDS REPORTED SEPARATELY

8PI academic awards

PI awards include co-recipient awards and are shown separately from the 6 lab and student awards.

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Research Areas

Our work connects principles and applications: from physics- and mathematics-based image understanding to systems for medical, industrial, and social problems.

Theme 01

Medical Image Analysis, 3D Shape Reconstruction, and Diagnostic Support

Research on lesion detection, segmentation, 3D shape reconstruction, quantitative measurement, and diagnostic support using endoscopy, CT, cellular, and pathological images.

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Theme 02

Physics-based Vision

Research on estimating shape, material, reflectance, and illumination from images by modeling reflection, transmission, scattering, and other optical phenomena.

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Theme 03

Real-world Sensing and Spatiotemporal Modeling

Research on extracting temporal and spatial structure from videos and sensor data for action recognition, forecasting, and anomaly detection.

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Theme 04

Generative AI, Learning Support, and Validation

Research on generative models, learning support, data augmentation, automatic question generation, and validation of generated outputs and LLM evaluators.

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Selected Publications

Physics-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

Accepted; Paper ID M045; presentation scheduled for October 15-18, 2026; SPIE Proceedings publication is contingent on successful registration and presentation

International Conference

Lesion-Wise Selection of Clinical-Attribute Fusion Stages for Dermoscopic Image Classification

Izuhara, Keima, Usami, Hiroyasu

Proceedings of the 60th Tokai Fuzzy Workshop in Toyohashi (Gamaken 2026), 2026

S2-03, pp. 12-13, August 19, 2026

Domestic Workshop

Reflectance Decomposition and 3D Shape Reconstruction via Self-Supervised Single-Image Inverse Rendering with Relighting Constraints

Hara, Keisuke, Usami, Hiroyasu

Proceedings of the 60th Tokai Fuzzy Workshop in Toyohashi (Gamaken 2026), 2026

S3-03, pp. 15-16, Best Presentation Award, August 19, 2026

Best Presentation AwardDomestic Workshop

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News

Recent presentations, publications, awards, invited talks, academic service, outreach, and laboratory activities.

2026.08.19

PresentationAwardDomestic ConferenceMedical ImagingComputer Vision

Presented two studies at the 60th Tokai Fuzzy Workshop; Keisuke Hara received the Best Presentation Award

At the 60th Tokai Fuzzy Workshop in Toyohashi (Gamaken 2026), Keima Izuhara and Hiroyasu Usami presented dermoscopic image classification research (S2-03), and Keisuke Hara and Hiroyasu Usami presented single-image inverse rendering research (S3-03). Both papers are also included in the proceedings. The S3-03 presentation was recognized as the workshop's most outstanding research presentation, and Keisuke Hara received the Best Presentation Award. The first study examines complementary errors and the stability of lesion-wise selection across clinical-attribute fusion stages; the second evaluates joint estimation of reflectance, surface normals, and absolute depth under relighting constraints.

2026.08.06

PresentationDomestic ConferenceComputer Vision

Presented 2D human pose estimation research at MIRU 2026

Wataru Hashizume and Hiroyasu Usami presented research on 2D human pose estimation via compressed token learning with structural consistency in Interactive Session IS3 at MIRU 2026 on August 6, 13:00-15:00.

2026.06.30

International ConferenceMedical ImagingComputer VisionCollaboration

A paper on physics-guided monocular depth estimation in colonoscopy was accepted at ICMV 2026

A paper introducing physical constraints and Privileged Illumination Information for monocular depth estimation from colonoscopic images was accepted at ICMV 2026. The presentation is scheduled for October 15-18, 2026, in Budapest. Publication in SPIE Proceedings is contingent on successful registration and presentation.

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People

Faculty, graduate students, and undergraduate students work together across computer vision, machine learning, and applied image analysis.

Faculty

Current Students

Alumni

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Selected Career Paths

Companies are listed in Japanese alphabetical order.

AISIN Digital Engineering Co., Ltd.
Aiphone Co., Ltd.
ARGO GRAPHICS Inc.
Enshu Limited
Gothic Co., Ltd.
Common Products Co., Ltd.
C-Cube Co., Ltd.
J:COM Co., Ltd.
JBCC Corporation
Sumitomo Riko Company Limited
TechPresso Inc.
DIC Solution Engineering Co., Ltd.
Nodajuku Co., Ltd.

Graduate study: Chubu University Graduate School

For Prospective Students

Students interested in image processing, computer vision, machine learning, and AI are welcome to contact us.

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For Research Collaboration

We welcome collaboration with companies and research institutions on image analysis, computer vision, and machine learning.