Projects per year
Personal profile
Research Interests
Computer Vision
Machine Learning
Image Processing
Signal Processing
Experience
Education/Academic qualification
PhD, Electrical Engineering, Stanford University
External positions
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Dive into the research topics where Sheng-Jyh Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 17 Finished
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Semantic Segmentation, hierarchical Scene Parsing, and Image Captioning
Wang, S.-J. (PI)
1/08/17 → 31/01/18
Project: Government Ministry › Other Government Ministry Institute
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Unsupervised Learning and Semi-supervised Learning for Visual Content Analysis
Wang, S.-J. (PI)
1/08/16 → 31/10/17
Project: Government Ministry › Other Government Ministry Institute
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Unsupervised Learning and Semi-supervised Learning for Visual Content Analysis
Wang, S.-J. (PI)
1/08/15 → 31/10/16
Project: Government Ministry › Other Government Ministry Institute
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Multi-view Video Generation for Outdoor Scenes
Wang, S.-J. (PI)
1/08/14 → 31/07/15
Project: Government Ministry › Other Government Ministry Institute
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Unsupervised Learning and Semi-supervised Learning for Visual Content Analysis
Wang, S.-J. (PI)
1/08/14 → 31/10/15
Project: Government Ministry › Other Government Ministry Institute
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Opponent Exploitation Based on Bayesian Strategy Inference and Policy Tracking
Lee, K. T., Huang, Y. Y., Yang, J. R. & Wang, S. J., 1 Jun 2024, In: IEEE Transactions on Games. 16, 2, p. 419-430 12 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Bayesian Opponent Exploitation by Inferring the Opponent's Policy Selection Pattern
Lee, K. T. & Wang, S. J., 2022, 2022 IEEE Conference on Games, CoG 2022. IEEE Computer Society, p. 151-158 8 p. (IEEE Conference on Computatonal Intelligence and Games, CIG; vol. 2022-August).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
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
1 Scopus citations -
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 of indoor-scene RGB-D images based on iterative contraction and merging
Syu, J. H., Cho, S. H., Wang, S.-J. & Wang, L.-C., 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