2021 Suzuki Laboratory Publications

2021 Suzuki Laboratory Publications
Department of Informatics, Graduate School of Information Science and Electrical Engineering , Kyushu University

Mirai Takayanagi, Yasuo Tabei, Einoshin Suzuki, Hiroto Saigo: "Sparse nonnegative interaction models", IEEE Access, Vol. 9, pp. 109994-110005, July, 2021. DOI 10.1109/ACCESS.2021.3099473
Wenbo Li, Einoshin Suzuki: "Adaptive and Hybrid Context-Aware Fine-Grained Word Sense Disambiguation in Topic Modeling based Document Representation", Information Processing & Management, Vol. 58, Issue 4, Article 102592, July, 2021. DOI 10.1016/j.ipm.2021.102592
Wenbo Li, Hiroto Saigo, Bin Tong, Einoshin Suzuki: "Topic Modeling for Sequential Documents Based on Hybrid Inter-Document Topic Dependency", Journal of Intelligent Information Systems, Vol. 56, No. 3, pp. 435-458, June, 2021. DOI 10.1007/s10844-020-00635-4
園田亮介，鈴木英之進：ハイブリッド推薦のためのニューラル協調フィルタリングと変分オートエンコーダの同時最適化，電子情報通信学会和文論文誌(D)，Vol. J104-D, No. 02, pp. 119-129, Feb. 2021. DOI 10.14923/transinfj.2020JDP7017
Kaikai Zhao, Takashi Imaseki, Hiroshi Mouri, Einoshin Suzuki, Tetsu Matsukawa: "From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking", Proc. 25th International Conference on Pattern Recognition (ICPR 2020), pp. 2506-2513, Milan, January 2021. DOI 10.1109/ICPR48806.2021.9413215
Tetsu Matsukawa, Einoshin Suzuki: "Convolutional Feature Transfer via Camera-Specific Discriminative Pooling for Person Re-Identification", Proc. 25th International Conference on Pattern Recognition (ICPR 2020), pp. 8408-8415, Milan, January 2021. DOI 10.1109/ICPR48806.2021.9412420
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", Proc. Sixteenth International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021), Vol. 5: VISAPP (Sixteenth International Conference on Computer Vision Theory and Applications), pp. 943-953, Vienna, February 2021. DOI 10.5220/001031350943095
Ning Dong, Einoshin Suzuki: "GIAD: Generative-Inpainting-Based Anomaly Detection from Salient Regions in Human Monitoring", Proc. PRICAI 2021: Trends in Artificial Intelligence - 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021), Part II, LNCS 13032, pp. 418-432, Hanoi, Vietnam, November 2021. DOI 10.1007/978-3-030-89363-7_32 (Best Paper Award).
Qiming Zou, Einoshin Suzuki: "Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning", Proc. 28th International Conference on Neural Information Processing (ICONIP-2021), Part I, pp. 240-253, Bali, Indonesia, December 2021. DOI 10.1007/978-3-030-92185-9_20.
Kang Zhang, Muhammad Fikko Fadjrimiratno, Einoshin Suzuki: "Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring", Proc. 28th International Conference on Neural Information Processing (ICONIP-2021), Part I, pp. 450-463, Bali, Indonesia, December 2021. DOI 10.1007/978-3-030-92185-9_37.
Shin Ando, Yusuke Hatae, Muhammad Fikko Fadjrimiratno, Qingpu Yang, Yuanyuan Li, Tetsu Matsukawa, Einoshin Suzuki: "Adversarial Minority-Class Re-Sampling for Imbalanced Sequence Classification", Final Program and Book of Abstracts, Tenth International Conference on Pattern Recognition Applications and Methods (ICPRAM 2021), p. 41, Online, February 2021.
Shin Ando, Yusuke Hatae, Muhammad Fikko Fadjrimiratno, Qingpu Yang, Yuanyuan Li, Tetsu Matsukawa, Einoshin Suzuki: "Visually-Private Scene Classification with Agent-collected Weak-labels", Final Program and Book of Abstracts, Thirteenth International Conference on Agents and Artificial Intelligence (ICAART 2021), pp. 50-51, Online, February 2021.
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 (MIRU 2021)，I32-10，オンライン，2021年7月．
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（FIT 2021），第2分冊，pp.381-382，オンライン，2021年8月．
永濱僚基，内村優太，菅谷信介，渡會恭平，鈴木英之進：予測の不確実性を考慮するデータ選択に基づくベイズ線形回帰のためのプールベース能動学習，第20回情報科学技術フォーラム（FIT 2021），第2分冊，pp.403-405，オンライン，2021年8月．
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，pp.308-309，オンライン，2021年9月．
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，pp.310-311，オンライン，2021年9月．
Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki: Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models, CoRR abs/2105.10644, (arXiv:2105.10644), May 2021. DOI 10.48550/arXiv.2105.10644.

Last Updated: Wed Jun 29 10:41:48 JST 2022