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IEEE GCCE2019 にて15件の発表を行いました!

2019年10月15日から18日に大阪で開催された2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)にて,以下の15件の発表を行いました.尚,本会議では小川准教授がConference Chairを務めました!

(1). Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Region-based Distress Classification of Road Infrastructures via CNN Without Region Annotation”

(2). Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Semantic Shot Classification in Baseball Videos Based on Similarities of Visual Features”

(3). Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama,
“Effectiveness Evaluation of Deep Features for Image Reconstruction from fMRI Signals”

(4). Megumi Kotera, Ren Togo, Takahiro Ogawa, Miki Haseyama, “Aesthetic Style Transfer Through Text-to-image Synthesis and Image-to-image Translation”

(5). Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Estimation of User-Specific Visual Attention Based on Gaze Information of Similar Users”

(6). Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama, “Interest Estimation for Images Based on Eye Gaze-based Visual and Text Features”

(7). Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama, “Multimodal Retrieval of Similar Soccer Videos Based on Optimal Combination of Multiple Distance Measures”

(8). Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama, “Estimating Viewed Image Categories from fMRI Activity via Multi-view Bayesian Generative Model”

(9). Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama, “Scene Retrieval Using Text-to-image GAN-based Visual Similarities and Image-to-text Model-based Textual Similarities”

(10). Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama, “Voice-Input Multimedia Information Retrieval System Based on Text-to-image GAN”

(11). Kentaro Yamamoto, Ren Togo, Takahiro Ogawa, Miki Haseyama, “Estimation of Drilling Energy from Tunnel Cutting Face Image Based on Online Learning”

(12). An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama, “Detection of Distress Region from Subway Tunnel Images via U-net-based Deep Semantic Segmentation”

(13). Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama, “A Method for Predicting Importance of Attack Players Based on Multiple Gaze Tracking Data in Soccer Videos”

(14). Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama, “The Extraction of Individual Music Preference Based on Deep Time-series CCA”

(15). Yutaka Yamada, Takahiro Ogawa, Miki Haseyama, “Performance Prediction Method of Examinees Based on Matrix Completion”