Projects per year
Personal profile
Research Interests
computer vision, machine learning, artificial intelligence, deep learning
Education/Academic qualification
PhD, National Taiwan University
Sep 2005 → Oct 2010
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Network
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開發適用於新型視覺資料的低標註成本深度學習演算法(II)
1/08/22 → 31/07/23
Project: Government Ministry › Other Government Ministry Institute
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Developing Deep Instance Segmentation Algorithms for Video Surveillance
1/08/22 → 31/07/23
Project: Government Ministry › Other Government Ministry Institute
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開發適用於新型視覺資料的低標註成本深度學習演算法(II)
1/08/24 → 31/07/25
Project: Government Ministry › Other Government Ministry Institute
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開發適用於新型視覺資料的低標註成本深度學習演算法(II)
1/08/23 → 31/07/24
Project: Government Ministry › Other Government Ministry Institute
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低標註資源應用之深度學習技術開發(4/4)
1/01/22 → 31/12/22
Project: Government Ministry › Other Government Ministry Institute
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Unsupervised sound localization via iterative contrastive learning
Lin, Y. B., Tseng, H. Y., Lee, H. Y., Lin, Y. Y. & Yang, M. H., Jan 2023, In: Computer Vision and Image Understanding. 227, 103602.Research output: Contribution to journal › Article › peer-review
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An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation
Yang, C. K., Wu, J. J., Chen, K. S., Chuang, Y. Y. & Lin, Y. Y., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 11820-11829 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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AQT: Adversarial Query Transformers for Domain Adaptive Object Detection
Huang, W. J., Lu, Y. L., Lin, S. Y., Xie, Y. & Lin, Y. Y., 2022, Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022. De Raedt, L. & De Raedt, L. (eds.). International Joint Conferences on Artificial Intelligence, p. 972-979 8 p. (IJCAI International Joint Conference on Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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BANet: A Blur-Aware Attention Network for Dynamic Scene Deblurring
Tsai, F. J., Peng, Y. T., Tsai, C. C., Lin, Y. Y. & Lin, C. W., 2022, In: IEEE Transactions on Image Processing. 31, p. 6789-6799 11 p.Research output: Contribution to journal › Article › peer-review
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Point MixSwap: Attentional Point Cloud Mixing via Swapping Matched Structural Divisions
Umam, A., Yang, C. K., Chuang, Y. Y., Chuang, J. H. & Lin, Y. Y., 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 596-611 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13689 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Prizes
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Best Paper Finalist, IEEE Computer Vision and Pattern Recognition (CVPR)
Lin, Yen-Yu (Recipient), 2019
Prize: Honorary award
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Best Poster Award, International Computer Symposium (ICS)
Lin, Yen-Yu (Recipient), 2014
Prize: Honorary award
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Best Student Paper Award Honorable Mention, Asian Conference on Computer Vision (ACCV)
Lin, Yen-Yu (Recipient), 2018
Prize: Honorary award
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Best Student Paper Award Runner-up, ACM International Conference on Multimedia (ACMMM))
Lin, Yen-Yu (Recipient), 2005
Prize: Honorary award
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Exploration Research Award, Pan Wen Yuan Foundation
Lin, Yen-Yu (Recipient), 2018
Prize: Honorary award