過去のお知らせ
世界最高峰の信号処理に関する国際会議 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025)にて発表を行いました！
インド ハイデラバードで開催されたICASSP2025にて、以下の論文を発表しました。
https://2025.ieeeicassp.org
【Regular Track】
[1] Ren Tasai, Guang Li, Ren Togo, Minghui Tang, Takaaki Yoshimura, Hiroyuki Sugimori, Kenji Hirata, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama, “Continuous Self-Supervised Learning Considering Medical Domain Knowledge in Chest CT Images”
[2] Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Generative Dataset Distillation Based on Self-knowledge Distillation”
[3] Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Gradient-oriented Clustered Federated Learning with Efficient Knowledge Sharing in Non-IID Settings”
[4] Kenta Uesugi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Triplet Synthesis For Enhancing Composed Image Retrieval via Counterfactual Image Generation”
[5] Koshiro Toishi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama, “Robust Adversarial Defense Based on Non-Transferability of Attack across Foundation Models”
【OJSP Track】
[6] Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Enhancing Generative Class Incremental Learning Performance with a Model Forgetting Approach”
[7] Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Enhancing Classification Models with Sophisticated Counterfactual Images”
