自己紹介

富山大学理工学研究科M2の上出耕一郎です。
張研究室にて異常検知に関する研究に取り組んでいます。

学歴

  • 2025年4月–現在 富山大学 理工学研究科
  • 2021年4月–2025年3月 富山大学 工学部

研究分野

深層学習、コンピュータビジョン、異常検知、人物動作など

我是富山大学理工学研究科硕士二年级学生上出耕一郎。
目前在张研究室从事异常检测研究。

教育经历

  • 2025年4月–至今 富山大学 理工学研究科
  • 2021年4月–2025年3月 富山大学 工学部

研究方向

深度学习、计算机视觉、异常检测、人体动作等

I am Koichiro Kamide, a second-year master’s student at the Graduate School of Science and Engineering, University of Toyama.
I conduct research on anomaly detection in the Zhang Laboratory.

Education

  • April 2025–Present: Graduate School of Science and Engineering, University of Toyama
  • April 2021–March 2025: Faculty of Engineering, University of Toyama

Research Interests

Deep learning, computer vision, anomaly detection, human motion, and related topics

研究業績 研究成果 Publications

学術雑誌 学术期刊 Journal Articles

[3] DMP-3DAD: Cross-Category 3D Anomaly Detection via Realistic Depth Map Projection with Few Normal Samples
Zi Wang, Katsuya Hotta, Koichiro Kamide, Yawen Zou, Jianjian Qin, Chao Zhang, Jun Yu,
IEICE TRANSACTIONS on Information and Systems, Vol. xx, No. xx, pp. xx-xx, 2026

[2] 3DKeyAD: High-Resolution 3D Point Cloud Anomaly Detection via Keypoint-Guided Point Clustering
Zi Wang, Katsuya Hotta, Koichiro Kamide, Yawen Zou, Chao Zhang, Jun Yu,
IEICE TRANSACTIONS on Information and Systems, Vol. E109-D, No. 8, pp. xx-xx, 2026
コードはこちらで公開しています。代码已发布于此处The code is available here.

[1] Few-shot human action anomaly detection via a unified contrastive learning framework
Koichiro Kamide, Shunsuke Sakai, Shun Maeda, Chunzhi Gu, Chao Zhang,
Knowledge-Based Systems (Impact Factor 2024=7.6), Vol. 334, pp. 115133, 2026
コードはこちらで公開しています。代码已发布于此处The code is available here.

国際会議 国际学术会议 International Conferences

[7] Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions
Sosuke Suzuki, Yijin Wei, Koichiro Kamide, Ran Dong, Haoran Xie, Chao Zhang,
14th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2026 (accepted)

[6] VT-3DAD: Cross-Category 3D Anomaly Detection via Visual-Text Normal Space Alignment
Zi Wang, Katsuya Hotta, Yawen Zou, Koichiro Kamide, Yijin Wei, Chao Zhang, Jun Yu,
International Conference on Machine Vision (ICMV), 2026 (accepted)

[5] Image Anomaly Detection with Foreground-Aware Anomaly Synthesis
Shohei Fuwa, Koichiro Kamide, Chunzhi Gu, Chao Zhang,
NICOGRAPH International (NicoInt), 2026 (accepted)

[4] Human Action Recognition via Dataset Condensation
Yijin Wei, Yawen Zou, Koichiro Kamide, Chunzhi Gu, Hangli Ge, Chao Zhang,
NICOGRAPH International (NicoInt), 2026 (accepted)

[3] Topology-Aware Multi-Scale Learning for Skeleton-Based Human Action Anomaly Detection
Shun Maeda, Yijin Wei, Koichiro Kamide, Shogo Tokai, Chunzhi Gu, Chao Zhang,
NICOGRAPH International (NicoInt), 2026 (accepted)

[2] Human Action Anomaly Detection via Spatial-Temporal Transformer Network
Kousuke Yamamoto, Koichiro Kamide, Yijin Wei, Chunzhi Gu, Chao Zhang,
NICOGRAPH International (NicoInt), 2026 (accepted)

[1] Dynamically Adaptive Negative Pairs for Contrastive Multi-View Clustering
Yu Ding, Koichiro Kamide, Jun Yu, Chao Zhang,
Quality Control by Artificial Vision (QCAV), S5-4, 2025

国内会議 日本国内学术会议 Domestic Conferences in Japan

[3] 相互作用を意識した複数人物の動作異常検知 考虑人物间交互的多人动作异常检测 Interaction-Aware Multi-Person Action Anomaly Detection
前田駿, 顧淳祉, 上出耕一郎, 東海彰吾, 張潮, Shun Maeda, Chunzhi Gu, Koichiro Kamide, Shogo Tokai, Chao Zhang, Shun Maeda, Chunzhi Gu, Koichiro Kamide, Shogo Tokai, Chao Zhang,
電気学会 電子・情報・システム部門大会日本电气学会电子、信息与系统部门大会Annual Conference on Electronics, Information and Systems, IEEJ, OS4-2-9, pp. 979–982, 2025

[2] データ拡張を用いた人物動作異常検知 基于数据增强的人体动作异常检测 Human Action Anomaly Detection Using Data Augmentation
上出耕一郎, 前田駿, 坂井俊介, 顧淳祉, 張潮, Koichiro Kamide, Shun Maeda, Shunsuke Sakai, Chunzhi Gu, Chao Zhang, Koichiro Kamide, Shun Maeda, Shunsuke Sakai, Chunzhi Gu, Chao Zhang,
電気学会 電子・情報・システム部門大会日本电气学会电子、信息与系统部门大会Annual Conference on Electronics, Information and Systems, IEEJ, OS4-2-8, pp. 975–978, 2025

[1] One-Model-All-Category Human Action Anomaly Detection
Koichiro Kamide, Chunzhi Gu, Shun Maeda, Jun Yu, Chao Zhang, Koichiro Kamide, Chunzhi Gu, Shun Maeda, Jun Yu, Chao Zhang, Koichiro Kamide, Chunzhi Gu, Shun Maeda, Jun Yu, Chao Zhang,
動的画像処理実利用化ワークショップ(DIA)面向实际应用的动态图像处理研讨会(DIA)Dynamic Image Processing for Real Application Workshop (DIA), IS2-30, pp. 356–360, 2025

研究会 日本国内学术研讨会 Technical Meetings in Japan

[1] Few-shot三次元人物動作異常検知 少样本三维人体动作异常检测 Few-Shot 3D Human Action Anomaly Detection
上出耕一郎, 顧淳祉, 前田駿, 余俊, 張潮, Koichiro Kamide, Chunzhi Gu, Shun Maeda, Jun Yu, Chao Zhang, Koichiro Kamide, Chunzhi Gu, Shun Maeda, Jun Yu, Chao Zhang,
メディア工学研究会(ME) 媒体工程研究组(ME) Technical Group on Media Engineering (ME), 2025

査読中 审稿中 Under Review

[1] 3D Human-Human Interaction Anomaly Detection
Shun Maeda, Chunzhi Gu, Koichiro Kamide, Katsuya Hotta, Shangce Gao, Chao Zhang

受賞 获奖 Awards

[3] Short Paper Award
Human Action Recognition via Dataset Condensation,
Yijin Wei, Yawen Zou, Koichiro Kamide, Chunzhi Gu, Hangli Ge, Chao Zhang,
NICOGRAPH International (NicoInt), 2026

[2] Best Paper Award
Dynamically Adaptive Negative Pairs for Contrastive Multi-View Clustering
Yu Ding, Koichiro Kamide, Jun Yu, Chao Zhang,
Quality Control by Artificial Vision (QCAV), S5-4, 2025

[1] 研究奨励賞 研究鼓励奖 Research Encouragement Award
Few-shot三次元人物動作異常検知 少样本三维人体动作异常检测 Few-Shot 3D Human Action Anomaly Detection
上出耕一郎, 顧淳祉, 前田駿, 余俊, 張潮, Koichiro Kamide, Chunzhi Gu, Shun Maeda, Jun Yu, Chao Zhang, Koichiro Kamide, Chunzhi Gu, Shun Maeda, Jun Yu, Chao Zhang,
メディア工学研究会(ME) 媒体工程研究组(ME) Technical Group on Media Engineering (ME), 2025

資格・試験

  • 2024年4月 TOEIC Listening & Reading Test 865点
  • 2023年6月 応用情報技術者試験(AP) 合格
  • 2023年6月 基本情報技術者試験(FE) 合格
  • 2022年2月 第二種電気工事士 取得

资格证书与考试成绩

  • 2024年4月 TOEIC Listening & Reading Test:865分
  • 2023年6月 通过日本应用信息技术工程师考试(AP)
  • 2023年6月 通过日本基本信息技术工程师考试(FE)
  • 2022年2月 取得日本第二种电气工事士资格

Certifications and Test Scores

  • April 2024: TOEIC Listening & Reading Test — Score: 865
  • June 2023: Passed Japan’s Applied Information Technology Engineer Examination (AP)
  • June 2023: Passed Japan’s Fundamental Information Technology Engineer Examination (FE)
  • February 2022: Obtained a Class 2 Electrician License in Japan