Publications 2024
- 2023 /
- 2024
Journals
1. Chenkai Zhang, Daisuke Deguchi, Jialei Chen, Hiroshi Murase: "Toward Explainable End-to-End Driving Models via Simplified Objectification Constraints,"IEEE Transactions on Intelligent Transportation Systems, 25(10), pp.14521-14534, 2024/10/01 doi
2. Jialei Chen, Daisuke Deguchi, Chenkai Zhang, Xu Zheng, Hiroshi Murase: "Frozen is better than learning: A new design of prototype-based classifier for semantic segmentation,"Pattern Recognition, Vol.152, 2024/08/01 doi
3. Ryusei Hata, Daisuke Deguchi, Takatsugu Hirayama, Yasutomo Kawanishi, Hiroshi Murase: "Eye-Contact Transformer: Eye-Contact Detection of Distant Pedestrians Considering Scene Context,"IEICE Transactions on Information and Systems, J107-D, No.4, pp.231-242, 2024/04/01 doi
International Conferences
1. Zhenzhen Quan, Daisuke Deguchi, Jialei Chen, Chenkai Zhang, Yujun Li, Seigo Ito, Hiroshi Murase: "A Cross-Modal Knowledge Distillation Approach for RGB-to-Infrared Video Action Recognition,"Proceedings of Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2025), 2025/02/18
2. Jialei Chen, Daisuke Deguchi, Chenkai Zhang, Zhenzhen Quan, Seigo Ito, Hiroshi Murase: "Multi-group Vision Semantic Centroid for Semantic Segmentation,"Proceedings of Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2025), 2025/02/18
3. Chenkai Zhang, Daisuke Deguchi, Jialei Chen, Zhenzhen Quan, Hiroshi Murase: "CROCODILE: Crop-based Contrastive Discriminative Learning for Enhancing Explainability of End-to-End Driving Models,"Proceedings of ACCV Workshop on Machine Learning and Computing for Visual Semantic Analysis (MLCSA2024), pp.378-393, 2024/12/08
4. Yuya Ozaki, Daisuke Deguchi, Haruya Kyutoku, Hiroshi Murase: "Early prediction of At-risk students through Learning-Activity Forecasting,"Proceedings of 32nd International Conference on Computers in Education (ICCE2024), 2024/11/27
Domestic Symposiums
1. Kota Mizukami, Daisuke Deguchi, Haruya Kyutoku, 峰松 翼, Hiroshi Murase: "講義スライドのコンテンツ解析に基づく講義動画の自動生成に関する予備検討,"IPSJ SIG Technical Report (CLE), 2025/03/21
2. Yuya Ozaki, Daisuke Deguchi, Haruya Kyutoku, Hiroshi Murase: "学習活動ログと講義スライドの併用による早期At-risk 検出,"IPSJ SIG Technical Report (CLE), 2025/03/20
3. 辰己弘征, Daisuke Deguchi, Hiroshi Murase, 伊藤誠悟: "複数歩行者間のインタラクション理解に向けた 気づき認識データセットの構築,"IEICE Technical Report (MVE), 124(406), pp.25-26, 2025/03/05
4. 星谷那月, Daisuke Deguchi, Jialei Chen, Hiroshi Murase, 伊藤誠悟: "Object Detection using In-Vehicle Camera Images with Object Attributes Constraints,"IEICE Technical Report (MVE), 124(406), pp.27-28, 2025/03/05
5. Yuya Ozaki, Daisuke Deguchi, Haruya Kyutoku, Hiroshi Murase: "学習活動ログを用いたAt-risk 学生の早期検出:学習活動 予測ネットワークの活用,"Proceedings of 27th Meeting on Image Recognition and Understanding (MIRU2024), 2024/08/09
6. Zhenzhen Quan, Jialei Chen, Chenkai Zhang, Daisuke Deguchi, Hiroshi Murase: "A Decoupled Knowledge Distillation Approach for RGB-to-Infrared Video Action Recognition,"Proceedings of 27th Meeting on Image Recognition and Understanding (MIRU2024), 2024/08/09
7. Jialei Chen, Daisuke Deguchi, Chenkai Zhang, Zhenzhen Quan, Hiroshi Murase: "Distill from CLIP by Token Alignment for Inductive Zero-shot Semantic Segmentation,"Proceedings of 27th Meeting on Image Recognition and Understanding (MIRU2024), 2024/08/09
8. Chenkai Zhang, Daisuke Deguchi, Jialei Chen, Hiroshi Murase: "Enhancing Explainability of End-to-End Autonomous Driving Models through additional fine-tuning,"Proceedings of 27th Meeting on Image Recognition and Understanding (MIRU2024), 2024/08/09
9. Nazuna Matsuo, Daisuke Deguchi, Hiroshi Murase: "Front Image Generation from Back by Diffusion Model,"Proceedings of 27th Meeting on Image Recognition and Understanding (MIRU2024), 2024/08/09
10. Kota Mizukami, Daisuke Deguchi, Hiroshi Murase: "A construction of colorized NeRF with grayscale images,"Proceedings of 27th Meeting on Image Recognition and Understanding (MIRU2024), 2024/08/06
Awards
1. Yuya Ozaki: "学習ログを用いた成績の早期予測モデルの構築,"教員が選ぶ優秀発表賞, 2024/04/08
2. Jialei Chen: "Towards Zero-Shot Semantic Segmentation based on Vision-Language Model,"教員が選ぶ優秀発表賞, 2024/04/08