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論文・発表Article · Presentation
- 2020Teppei Suzuki, “SUPERPIXEL SEGMENTATION VIA CONVOLUTIONAL NEURAL NETWORKS WITH REGULARIZED INFORMATION MAXIMIZATION ”, ICASSP2020
- 2020河内祐太，鈴木哲平, “Unsupervised Auto-Encoding Multiple-Object Tracker for constraint-consistent combinatorial problem”, ICASSP2020
- 2019Yusuke Sekikawa, Kosuke Hara, Hideo Saito; The IEEE Conference on Computer Vision and Pattern Recognition, “EventNet: Asynchronous Recursive Event Processing”, CVPR2019
- 2020長田淳，関川雄介，鈴木哲平，青木義満, “QR-code Reconstruction from Event Data via Optimization in Code Subspace”, 2020: IEEE Winter Conference on Applications of Computer Vision(WACV)
- 2020鈴木哲平，佐藤育郎, “Adversarial Transformations for Semi-Supervised Learning”, AAAI2020
- 2019Nana Otawara（お茶の水女子大学）, Hiroshi Tsukahara, Atsushi Keyaki, Ichiro kobayashi（お茶の水女子大学）, “Understanding Natural Language Parking Instructions and Grounding for Self-driving Cars”, Machine Learning for Autonomous Driving in NeurIPS 2019 Workshop (ML4AD)
- 2019久我知希（慶応義塾大学）, 林百花（慶応義塾大学）, 大門樹（慶応義塾大学）, 水野信洋, 吉澤顕, “自動運転から手動運転への段階解除過程におけるドライバー支援のための情報コンテンツに関する基礎的研究 －情報提供がACC解除後の運転行動と視認行動に与える影響”, 自動車技術会2019年秋季学術講演会
- 2019鈴木哲平、佐藤育郎, “A New Way of Estimating Distances to Foregoing Vehicles from a Monocular Camera with Error Modeling”, IV2019
- 2019Koichiro Suzuki, C. Yamano, M. Morinaga(DENSO), T. Ikoma(NIT), “Likelihood Adjustment based on Informativeness of Observation for Extended Object Tracking”, International Conference on Control Automation & Infromation(ICCAIS2019)
- 2019安達 仁吾, “Estimating and Factoring the Dropout Induced Distribution with Gaussian Mixture Model”, ICANN2019