京都大学 / 新制・課程博士 / 博士(情報学) / 甲第25424号 / 情博第862号 / 京都大学大学院情報学研究科知能情報学専攻 / (主査)教授 西野 恒, 教授 鹿島 久嗣, 教授 阿久津 達也 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM
| Identifer | oai:union.ndltd.org:kyoto-u.ac.jp/oai:repository.kulib.kyoto-u.ac.jp:2433/288858 |
| Date | 25 March 2024 |
| Creators | Cai, Sudong |
| Contributors | ツァイ, スドン |
| Publisher | Kyoto University, 京都大学 |
| Source Sets | Kyoto University |
| Language | English |
| Detected Language | English |
| Type | doctoral thesis, Thesis or Dissertation |
| Rights | ? 2022 Springer Nature. Reproduced with permission from Springer Nature. (Chapter 3): Sudong Cai et al., RGB Road Scene Material Segmentation, In Proceedings of the Asian Conference on Computer Vision (ACCV), Springer Nature, pp. 3051-3067, 2022. ? 2023 IEEE. Reprinted with permission. (Chapter 4): Sudong Cai, IIEU: Rethinking Neural Feature Activation from Decision-Making, In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 5796-5806, 2023. In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of Kyoto University's products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to https://www.ieee.org/publications/rights/copyright-policy.html to learn how to obtain a License from RightsLink. |
Page generated in 0.0021 seconds