Asymmetric Structure between Two Sets of Adaptive Agents: An Approach Using a Matching Automaton. - Yoshiteru Ishida; Kazuma Sasaki (KES (4), 2011)

Neural network based model for visual-motor integration learning of robot's drawing behavior: Association of a drawing motion from a drawn image. - Kazuma Sasaki; Hadi Tjandra; Kuniaki Noda; Kuniyuki Takahashi; Tetsuya Ogata (IROS, 2015)

Classification of Photo and Sketch Images Using Convolutional Neural Networks. - Kazuma Sasaki; Madoka Yamakawa; Kana Sekiguchi; Tetsuya Ogata (ICANN (2), 2016)

Visual motor integration of robot's drawing behavior using recurrent neural network. - Kazuma Sasaki; Kuniaki Noda; Tetsuya Ogata (Robotics Auton. Syst., 2016)

Learning to simplify: fully convolutional networks for rough sketch cleanup. - Edgar Simo-Serra; Satoshi Iizuka; Kazuma Sasaki; Hiroshi Ishikawa 002 (ACM Trans. Graph., 2016)

Adaptive Energy Selection for Content-Aware Image Resizing. - Kazuma Sasaki; Yuya Nagahama; Zheng Ze; Satoshi Iizuka; Edgar Simo-Serra; Yoshihiko Mochizuki; Hiroshi Ishikawa 002 (ACPR, 2017)

Joint Gap Detection and Inpainting of Line Drawings. - Kazuma Sasaki; Satoshi Iizuka; Edgar Simo-Serra; Hiroshi Ishikawa 002 (CVPR, 2017)

Repeatable Folding Task by Humanoid Robot Worker Using Deep Learning. - Pin-Chu Yang; Kazuma Sasaki; Kanata Suzuki; Kei Kase; Shigeki Sugano; Tetsuya Ogata (IEEE Robotics Autom. Lett., 2017)

End-to-End Visuomotor Learning of Drawing Sequences using Recurrent Neural Networks. - Kazuma Sasaki; Tetsuya Ogata (IJCNN, 2018)

Rethinking Self-driving: Multi-task Knowledge for Better Generalization and Accident Explanation Ability. - Zhihao Li; Toshiyuki Motoyoshi; Kazuma Sasaki; Tetsuya Ogata; Shigeki Sugano (CoRR, 2018)

Learning to restore deteriorated line drawing. - Kazuma Sasaki; Satoshi Iizuka; Edgar Simo-Serra; Hiroshi Ishikawa 002 (Vis. Comput., 2018)

Adaptive Drawing Behavior by Visuomotor Learning Using Recurrent Neural Networks. - Kazuma Sasaki; Tetsuya Ogata (IEEE Trans. Cogn. Dev. Syst., 2019)