過去のお知らせ
IEEE ICIP2019で4件の発表を行いました！
2019年9月22日～25日に台湾の台北で開催の2019 IEEE International Conference on Image Processing (IEEE ICIP2019)にて、当研究室より以下の4件の発表を行いました。
(1)
Title: NEURAL NETWORK MAXIMIZING ORDINALLY SUPERVISED MULTI-VIEW CANONICAL CORRELATION FOR DETERIORATION LEVEL ESTIMATION
Session: MP.PB: Neural and Deep Networks
Time: Monday, September 23, 14:10 – 15:58
Authors: Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
(2)
Title: GASTRITIS DETECTION FROM GASTRIC X-RAY IMAGES VIA FINE-TUNING OF PATCH-BASED DEEP CONVOLUTIONAL NEURAL NETWORK
Session: MQ.PB: Biomedical Image Processing II
Time: Monday, September 23, 16:30 – 18:18
Authors: Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama
(3)
Title: SCENE RETRIEVAL FOR VIDEO SUMMARIZATION BASED ON TEXT-TO-IMAGE GAN
Session: TA.L1: Content Summarization and Semantic Analysis
Time: Tuesday, September 24, 10:30 – 12:18
Authors: Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
(4)
Title: ESTIMATION OF EMOTION LABELS VIA TENSOR-BASED SPATIOTEMPORAL VISUAL ATTENTION ANALYSIS
Session: WP.PF: Sensing, Representation, and Display
Time: Wednesday, September 25, 14:10 – 15:58
Authors: Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama