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コンシューマーエレクトロニクスに関する国際会議 2023 IEEE 12th Global Conference on Consumer Electronics (GCCE 2023)にメディアダイナミクス研究室より投稿した以下の8件の論文が採録されました!

[1] Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama, “Bundle Detection Based on Graph Convolutional Network Considering Categorical Hierarchical Relationship”

[2] Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama, “Skill Level Classification Using Motion Data via Spatial Temporal Graph Convolutional Network”

[3] Masaki Kashiwagi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama, “Deterioration Level Estimation for Infrastructures Considering Noisy Labels via DivideMix”

[4] Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama, “Caption Unification for Multiple Viewpoint Lifelogging Images and Its Verification”

[5] Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Text-To-Image Diffusion Model Suppressing Catastrophic Forgetting via Elastic Weight Consolidation”

[6] Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Novel Feature Extraction for Classification of Auditory-Visual Stimuli From fNIRS Signals”

[7] Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Improving Visual Counterfactual Explanation Models for Image Classification via CLIP”

[8] Haoyang Wang, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “A Controllable Recoloring Method for Novel Views Using Segment Anything Model”

https://www.ieee-gcce.org/2023/

6人、テキストの画像のようです