- JST CREST HCI for Machine Learning Symposium -
13:00-18:30, March 11 (mon) , 2019.
Koshiba-hall, Hongo Campus, The University of Tokyo [access]
Data driven intelligent information processing technologies such as machine learning are making rapid progress. In the JST CREST HCI for Machine Learning project, we are developing interaction technologies to support users of such data driven type intelligent information processing systems in data generation and learning phases as well as in execution phases. At this symposium, we introduce the results from our group so far and invite researchers from related fields to have discussions. We are waiting for active participation of people interested.
Program
13:00-13:30 Project Introduction. Interaction for Machine learning. Takeo Igarashi (U Tokyo)
13:30-14:00 Invited Talk. CyborgCrowd Project: Towards Integration of Human and Machine Intelligence. Astuyuki Morishima (Tsukuba University))
14:00-14:30 Invited Talk. Deep Learning to support creativity and Human-Robot Interaction. Fabrice Matulic (PFN)
14:30-14:40 Break
14:40-15:00 Talk. pBM--project Beautiful Mind: An attempt to synthesize shapes that designers (implicitly) want. Issei Sato (U Tokyo), Makoto Sei Watanabe (Architect)
15:00-15:15 Talk. Creative Data Generation leveraging Crowdsourcing and Machine Learning, Yonghao Yue (U Tokyo)
15:15-15:30 Talk. Development of diagnosis and treatment technologies in neurosurgery leveraging machine learning. Taichi Kin (U Tokyo)
15:30-15:40 Break
15:40-16:10 Invited Talk. Real-Time Data-Driven Interactive Rough Sketch Inking. Edgar Simo-Serra (Waseda University)
16:10-16:40 Invited Talk. Sophisticated work assistance and accessibility improvement based on cutting-edge compute vision technologies. Keita Higuchi (U Tokyo)
16:40-18:30 Poster session + Social gathering
Registration
Here（Not required, but appreciated.）
Contact
Igarashi lab. The University of Tokyo. igarashi.lab＠gmail.com