Projects per year
Personal profile
Research Interests
Computer Vision
Machine Learning
Image Processing
Signal Processing
Experience
Education/Academic qualification
PhD, Stanford University
External positions
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Projects
- 17 Finished
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Semantic Segmentation, hierarchical Scene Parsing, and Image Captioning
1/08/17 → 31/01/18
Project: Government Ministry › Ministry of Science and Technology
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Unsupervised Learning and Semi-supervised Learning for Visual Content Analysis
1/08/16 → 31/10/17
Project: Government Ministry › Ministry of Science and Technology
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Unsupervised Learning and Semi-supervised Learning for Visual Content Analysis
1/08/15 → 31/10/16
Project: Government Ministry › Ministry of Science and Technology
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Multi-view Video Generation for Outdoor Scenes
1/08/14 → 31/07/15
Project: Government Ministry › Ministry of Science and Technology
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Unsupervised Learning and Semi-supervised Learning for Visual Content Analysis
1/08/14 → 31/10/15
Project: Government Ministry › Ministry of Science and Technology
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A patch-based contraction process for the improvement of image matting
Syu, J. H., Wang, S-J. & Wang, L-C., 19 Jan 2018, 2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 559-564 6 p. (2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings; vol. 2018-January).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Image Enhancement Based on Region-Based Contraction Process
Syu, J. H., Wang, S-J. & Wang, L-C., 27 Aug 2018, 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018. Institute of Electrical and Electronics Engineers Inc., 2 p. 8448446. (2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Semantic segmentation based on iterative contraction and merging
Yang, T. H., Syu, J. H. & Wang, S-J., 20 Feb 2018, 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. IEEE Computer Society, p. 1282-1286 5 p. (Proceedings - International Conference on Image Processing, ICIP; vol. 2017-September).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Semantic segmentation of indoor-scene RGB-D images based on iterative contraction and merging
Syu, J. H., Cho, S. H., Wang, S-J. & Wang, L-C., 1 Jan 2018, Image and Signal Processing - 8th International Conference, ICISP 2018, Proceedings. Mammass, D., Nouboud, F., Mansouri, A. & El Moataz, A. (eds.). Springer Verlag, p. 252-261 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10884 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Hierarchical Image Segmentation Based on Iterative Contraction and Merging
Syu, J. H., Wang, S-J. & Wang, L-C., 1 May 2017, In: IEEE Transactions on Image Processing. 26, 5, p. 2246-2260 15 p., 7814291.Research output: Contribution to journal › Article › peer-review
35 Scopus citations