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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Projects
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Co-Occurrence Deep Network Learning for Unsupervised Common Pattern Detection
1/08/20 → 31/07/21
Project: Government Ministry › Ministry of Science and Technology
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Developing Deep Instance Segmentation Algorithms for Video Surveillance
1/08/20 → 31/07/21
Project: Government Ministry › Ministry of Science and Technology
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Developing Deep Instance Segmentation Algorithms for Video Surveillance
1/08/22 → 31/07/23
Project: Government Ministry › Ministry of Science and Technology
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Developing Deep Instance Segmentation Algorithms for Video Surveillance
1/08/21 → 31/07/22
Project: Government Ministry › Ministry of Science and Technology
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Deep Learning Networks for Applications with Limited Labeling Data
1/01/20 → 31/12/20
Project: Government Ministry › Ministry of Science and Technology
Research Output
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Deep Co-Saliency Detection via Stacked Autoencoder-Enabled Fusion and Self-Trained CNNs
Tsai, C. C., Hsu, K. J., Lin, Y-Y., Qian, X. & Chuang, Y. Y., Apr 2020, In: IEEE Transactions on Multimedia. 22, 4, p. 1016-1031 16 p., 8809285.Research output: Contribution to journal › Article › peer-review
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DGGAN: Depth-image guided generative adversarial networks for disentangling RGB and depth images in 3D hand pose estimation
Chen, L., Lin, S. Y., Xie, Y., Lin, Y. Y., Fan, W. & Xie, X., Mar 2020, Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020. Institute of Electrical and Electronics Engineers Inc., p. 400-408 9 p. 9093380. (Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Referring expression object segmentation with caption-aware consistency
Chen, Y. W., Tsai, Y. H., Wang, T., Lin, Y. Y. & Yang, M. H., 2020.Research output: Contribution to conference › Paper › peer-review
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Spatiotemporal super-resolution with cross-task consistency and its semi-supervised extension
Lin, H. Y., Hsiu, P. C., Kuo, T. W. & Lin, Y. Y., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 615-622 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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TAGAN: Tonality-alignment generative adversarial networks for realistic hand pose synthesis
Chen, L., Lin, S. Y., Xie, Y., Tang, H., Xue, Y., Lin, Y. Y., Xie, X. & Fan, W., 2020.Research output: Contribution to conference › Paper › peer-review
1 Scopus citations
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