過去のお知らせ
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/
