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Usami Laboratory

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.

Selected Publications

2D Human Pose Estimation via Compressed Token Learning with Structural Consistency

Hashizume, Wataru, Usami, Hiroyasu

Meeting on Image Recognition and Understanding (MIRU 2026), 2026

IS3-171, Paper ID 366, Interactive Session IS3, 2026-08-06

Domestic Conference

LLM Judges Have Dark Current: A Psychometric Datasheet for LLM-as-a-Judge Evaluation

Usami, Hiroyasu, Hara, Keisuke, Tsuboi, Ayato, Matsuda, Naohiko

arXiv, 2026

arXiv:2606.15610 [cs.CL], 22 pages, 4 figures

Preprint

AI Arteriosclerosis Diagnosis System Using RLHF and Adversarial Attack: Quantitative Evaluation of IMT Extraction Robustness by Adversarial Learning

Usami, Hiroyasu

Journal of Comprehensive Engineering, 2026

Vol. 38, pp. 1-11

Bulletin

News

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

2026.08.06

PresentationDomestic ConferenceComputer Vision

Scheduled to present 2D human pose estimation research at MIRU 2026

Research by Wataru Hashizume and Hiroyasu Usami on 2D human pose estimation via compressed token learning with structural consistency is listed as an interactive presentation at MIRU 2026. The presentation is scheduled for Interactive Session IS3 on August 6, 13:00–15:00.

2026.06.14

PublicationPresentationGenerative AICollaboration

An arXiv preprint on LLM judge reliability evaluation is now available

The preprint “LLM Judges Have Dark Current: A Psychometric Datasheet for LLM-as-a-Judge Evaluation” is now available on arXiv. The work treats LLM-as-a-judge systems as measurement instruments rather than scalar accuracy or agreement devices, and proposes a Judge Datasheet protocol for measuring dark current, positional bias, target sensitivity, and criterion shift.

2026.06.04

PublicationMedical Imaging

A paper on an AI arteriosclerosis diagnosis system was published in Journal of Comprehensive Engineering

A paper on an AI arteriosclerosis diagnosis system using RLHF and adversarial attack was published in Vol. 38 of Journal of Comprehensive Engineering. The study evaluates the robustness of IMT extraction from carotid ultrasound images under adversarial perturbations, focusing on whether attention remains on physician-relevant structures.

People

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

1

Faculty

25

Current Students

21

Alumni

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.

For Research Collaboration

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