Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0001-8384-6981
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Dive into the research topics where Yun WANG is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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ADStereo: Efficient Stereo Matching with Adaptive Downsampling and Disparity Alignment
Wang, Y., Li, K., Wang, L., Hu, J., Oliver Wu, D. & Guo, Y., 2025, In: IEEE Transactions on Image Processing. 34, p. 1204-1218Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
1 Citation (Scopus) -
DyArtbank: Diverse artistic style transfer via pre-trained stable diffusion and dynamic style prompt Artbank
Zhang, Z., Zhang, Q., Li, G., Luan, J., Yang, M., Wang, Y. & Zhao, L., 15 Feb 2025, In: Knowledge-Based Systems. 310, 112959.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
5 Citations (Scopus) -
LGAST: Towards high-quality arbitrary style transfer with local–global style learning
Zhang, Z., Li, Y., Xia, R., Yang, M., Wang, Y., Zhao, L. & Xing, W., 28 Mar 2025, In: Neurocomputing. 623, 129434.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
1 Citation (Scopus) -
Cost Volume Aggregation in Stereo Matching Revisited: A Disparity Classification Perspective
Wang, Y., Wang, L., Li, K., Zhang, Y., Wu, D. O. & Guo, Y., 2024, In: IEEE Transactions on Image Processing. 33, p. 6425-6438Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
3 Citations (Scopus) -
Learning Representations from Foundation Models for Domain Generalized Stereo Matching
Zhang, Y., Wang, L., Li, K., Wang, Y. & Guo, Y., 2024, Computer Vision – ECCV 2024: 18th European Conference, Proceedings, Part XLII. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer, Cham, p. 146-162 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15100 LNCS).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
1 Citation (Scopus)