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IEEE GCCE 2018で9件の発表を行い、学部4年生2名が受賞しました!

2018年10月9日~12日に奈良県で開催されたコンシューマー・エレクトロニクスに関する国際会議IEEE Global Conference on Consumer Electronics (GCCE)にて、当研究室より9件の発表を行いました!
また、学部4年生の諸戸君が IEEE GCCE 2018 Outstanding Paper Awardを受賞し、同じく学部4年生の春山君が 1st Prize IEEE GCCE 2018 Excellent Poster Award を受賞しました!
来年のIEEE GCCE2019では、当研究室の小川准教授がConference Chairを務めます。
Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama, “Team Tactics Estimation in Soccer Videos via Deep Extreme Learning Machine Based on Players Formation”
Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama, “Estimation of Important Scenes in Soccer Videos Based on Collaborative Use of Audio-Visual CNN Features”
Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama, “Estimation of Viewed Image Categories via CCA Using Human Brain Activity”
Shoji Takimura, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama, “Twitter Followee Recommendation Based on Multimodal FFM Considering Social Relations”
Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama, “Missing Image Data Estimation via Iterative Convolutional Sparse Coding”
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “User-centric Visual Attention Estimation Based on Relationship Between Image and Eye Gaze Data”
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama, “Image Retrieval from Vague Description Based on AttnGAN,”
Ken Kawakami, Takahiro Ogawa, Miki Haseyama, “Blood Circulation Based on PPG Signals for Thermal Comfort Evaluation”
Ken Kawakami, Takahiro Ogawa, Miki Haseyama, “Detection of Deformed PPG Waveforms Based on a Ratio of Their Average Accelerations”
http://www.ieee-gcce.org/2018/index.html