| 1. |
Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki, SATJiP: Spatial and Augmented Temporal Jigsaw Puzzles for Video Anomaly Detection, 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024) , 2024.05. |
| 2. |
Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki, Image Generation from Hyper Scene Graphs with Trinomial Hyperedges Using Object Attention, 19th International Conference on Vision Theory and Application (VISAPP2024), 2024.02. |
| 3. |
Jose Alejandro Avellaneda Gonzalez, Tetsu Matsukawa, Einoshin Suzuki:, Cross-Modal Self-Supervised Feature Extraction for Anomaly Detection in Human Monitoring, Nineteenth International Conference on Automation Science and Engineering (CASE 2023), 2023.08. |
| 4. |
Ryosuke Miyake, Tetsu Matsukawa, Einishon Suzuki, Image Generation from Hyper Scene Graphs with Trinomial Hyperedges, 18th International Conference on Vision Theory and Application (VISAPP2023), 2023.02. |
| 5. |
Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki, Detecting Video Anomalous Events with an Enhanced Abnormality Score, 19th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2022), 2022.11. |
| 6. |
鈴木大輔，松川 徹，鈴木 英之進, 日本人顔画像データで訓練した顔匿名化手法k-Same-Netの実験的評価, 2021年度（第74回）電気・情報関係学会九州支部連合大会, 2021.09. |
| 7. |
新藤夏航，ファドジリミラトノムハッマド フィッコ，波多江悠祐，松川 徹，鈴木 英之進, 自律移動ロボットによる画像領域キャプショニングに基づく画像領域報告, 2021年度（第74回）電気・情報関係学会九州支部連合大会, 2021.09. |
| 8. |
大西 悠貴，松川 徹，鈴木 英之進, 顔面動作符号化システム（FACS）を用いる長・短期記憶に基づく異常な顔表情の検知, 第20回情報科学技術フォーラム（FIT2021）, 2021.08. |
| 9. |
松川 徹，鈴木英之進, 正規直交クラス代表ベクトルとの内積表現によるConvNet特徴転移, 第24回画像の認識・理解シンポジウム (MIRU2021), 2021.07. |
| 10. |
Shin Ando, Yusuke Hatae, Muhammad Fikko Fadjrimiratno, Qingpu Yang, Yuanyuan Li, Tetsu Matsukawa, Einoshin Suzuki , Adversarial Minority-Class Re-Sampling for Imbalanced Sequence Classification , Tenth International Conference on Pattern Recognition Applications and Methods (ICPRAM 2021) , 2021.02. |
| 11. |
Shin Ando, Yusuke Hatae, Muhammad Fikko Fadjrimiratno, Qingpu Yang, Yuanyuan Li, Tetsu Matsukawa, Einoshin Suzuki, Visually-Private Scene Classification with Agent-collected Weak-labels, Tenth International Conference on Pattern Recognition Applications and Methods (ICPRAM 2021) , 2021.02. |
| 12. |
Muhammad Fikko Fadjrimiratno, Yusuke Hatae, Tetsu Matsukawa, Einoshin Suzuki , Detecting Anomalies from Human Activities by an Autonomous Mobile Robot Based on "Fast and Slow" Thinking" , Sixteenth International Conference on Computer Vision Theory and Applications (VISAPP2021), 2021.02. |
| 13. |
Tetsu Matsukawa, Einoshin Suzuki, Convolutional Feature Transfer via Camera-specific Discrimative Pooling for Person Re-Identification, 25th International Conference on Pattern Recognition (ICPR2020), 2021.01. |
| 14. |
Kaikai Zhao, Takashi Imaseki, HIroshi Mouri, Einoshin Suzuki, Tetsu Matsukawa , From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking , 25th International Conference on Pattern Recognition (ICPR2020) , 2021.01. |
| 15. |
Ning Dong, Yusuke Hatae, Muhammad Fikko Fadjrimiratno, Tetsu Matsukawa, Einoshin Suzuki , Experimental Evaluation of GAN-Based One-Classs Anomaly Detection on Office Monitoring , 25th International Symposium on Intelligent Systems (ISMIS2020) , 2020.09. |
| 16. |
Li Wenbo, Tetsu Matsukawa, Hiroto Saigo, Einoshin Suzuki, Context-Aware Latent Dirichlet Allocation for Topic Segmentation, The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2020), 2020.05. |
| 17. |
Yusuke Hatae, Qingpu Yang, Muhammad Fikko Fadjrimiratno, Yuanyuan Li, Tetsu Matsukawa, Einoshin Suzuki, Detecting Anomalous Regions from an Image Based on Deep Captioning, The 15th International Conference on Vision Theory and Application (VISAPP2020), 2020.02. |
| 18. |
Yusuke Otsubo, Tetsu Matsukawa, Einoshin Suzuki, Harnessing GAN with Metric Learning for One-Shot Generation on a Fine-Grained Category, The IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI2019), 2019.11. |
| 19. |
Tetsu Matsukawa, Einoshin Suzuki, Kernelized Cross-View Quadratic Discriminant Analysis for Person Re-Identification, 16th International Conference on Machine Vision Applications (MVA2019), 2019.05. |
| 20. |
本藤拳也，松川徹，鈴木英之進, 弱教師つきデータ集合を用いるファッションスタイルの特徴学習に関する実験的評価, 火の国情報シンポジウム2019, 2019.03. |
| 21. |
Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki
, Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification , 24th International Conference on Pattern Recognition (ICPR2018), 2018.08. |
| 22. |
Soichiro Oura, Tetsu Matsukawa, Einoshin Suzuki
, Multimodal Deep Neural Network with Image Sequence Features for Video Captioning, IEEE International Joint Conference on Neural Networks (IJCNN2018), 2018.07. |
| 23. |
Hirofumi Fujita, Tetsu Matsukawa, Einoshin Suzuki
, One-Class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection, International Conference on Vision Theory and Application (VISAPP2018), 2018.03. |
| 24. |
藤田裕文, 松川 徹, 鈴木 英之進, マルチタスク学習用1クラスSVMを用いた新規人物に対する特異顔表情検知, 火の国情報シンポジウム2017, 2017.03. |
| 25. |
Tetsu Matsukawa, Einoshin Suzuki, Person Re-Identification Using CNN Features Learned from Combination of Attributes, 23rd International Conference on Pattern Recognition (ICPR2016), 2016.12. |
| 26. |
松川 徹, 岡部 孝弘, 鈴木 英之進, 佐藤 洋一, 階層的なガウシアン記述子を用いたカメラ間人物照合 , 第6回バイオメトリクスと認識・認証シンポジウム(SBRA2016), 2016.11. |
| 27. |
大浦恥一郎, 藤田隆吾, 松川徹, 西郷 浩人, 鈴木 英之進, LASSOに基づく運転者表情データからの特徴選択 , 電気・情報関係学会九州支部第69回連合大会, 2016.09. |
| 28. |
藤田隆吾, 大浦恥一郎, 松川徹, 鈴木 英之進, 苛立ち表情発見のための自動車運転者の顔画像クラスタリング, 第15回情報通信フォーラム(FIT2016), 2016.09. |
| 29. |
高橋佑典, 松川徹, 鈴木 英之進, 畳み込みニューラルネットワークを用いた顔表情分類の実験的評価 , 第15回情報通信フォーラム(FIT2016), 2016.09. |
| 30. |
Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato, Hierarchical Gaussian Descriptor for Person Re-Identification (CVPR2016), 第19回画像の認識・理解シンポジウム(MIRU2016), 2016.08. |
| 31. |
Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato, Hierarchical Gaussian Descriptor for Person Re-Identification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR2016), 2016.06. |
| 32. |
藤澤雄太, 松川徹, 鈴木英之進, 微表情認識における時空間テクスチャ記述子の実験的評価, 火の国情報シンポジウム2016, 2016.03. |
| 33. |
岩村和也, 松川徹, 鈴木英之進, 時空間テクスチャ記述子の変化量に基づく微表情認識, 火の国情報シンポジウム2016, 2016.03. |
| 34. |
藤田裕文, 松川徹, 鈴木英之進, 微表情特定のための会話ゲームベンチマークデータの構築, 火の国情報シンポジウム2016, 2016.03. |
| 35. |
松川徹, 岡部孝弘, 鈴木英之進, 佐藤洋一, カメラ間人物照合のための階層的なガウシアン記述子, 第18回画像の認識・理解シンポジウム(MIRU), 2015.07. |
| 36. |
Einoshin Suzuki, Yutaka Deguchi, Tetsu Matsukawa, Shin Ando, Hiroaki Ogata, Masanori Suzimoto, Toward a Platform for Collecting, Mining, and Utilizing Behavior Data for Detecting Students with Depression Risks, 8th annual international conference on PErvasive Technologies Related to Assistive Environments (PETRA2015), 2015.07. |
