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ORCIDFangli Ying
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2020 – today
- 2026
[j12]Irina Lebedeva
, Fangli Ying, Yi Guo, Taihao Li:
GAN semantics for personalized facial beauty synthesis and enhancement. J. Vis. Commun. Image Represent. 114: 104640 (2026)- [j11]Fangli Ying, Ahmed M. Al-Garadi, Mahzaib Khalid, Lihua Sun, Aniwat Phaphuangwittayakul, Liting Zhou, Cathal Gurrin:
DTIQA: a dual-path transformer framework for robust No-Reference Image Quality Assessment. Vis. Comput. 42(8): 307 (2026) - 2025
- [j10]Yadan Yang, Yunze Li, Fangli Ying, Aniwat Phaphuangwittayakul, Riyad Dhuny:
Uncertainty-Aware Adjustment via Learnable Coefficients for Detailed 3D Reconstruction of Clothed Humans from Single Images. Comput. Graph. Forum 44(7) (2025) - [c3]Fangli Ying, Zhihong Zhang, Liting Zhou, Cathal Gurrin, Jinhai Wang:
Identity-Preserving Facial Aesthetic Enhancement via Hierarchical Prompt Learning and Pivotal Tuning. ACM Multimedia 2025: 10690-10698 - 2024
- [j9]Aniwat Phaphuangwittayakul, Napat Harnpornchai, Fangli Ying, Jinming Zhang:
RailTrack-DaViT: A Vision Transformer-Based Approach for Automated Railway Track Defect Detection. J. Imaging 10(8): 192 (2024) - 2023
- [j8]Aniwat Phaphuangwittayakul, Fangli Ying, Yi Guo, Guohui, Surachai Santisookrat:
Adaptive adversarial prototyping network for few-shot prototypical translation. J. Vis. Commun. Image Represent. 94: 103845 (2023) - [j7]Irina Lebedeva, Fangli Ying, Yi Guo:
Personalized facial beauty assessment: a meta-learning approach. Vis. Comput. 39(3): 1095-1107 (2023) - [j6]Aniwat Phaphuangwittayakul, Fangli Ying, Yi Guo, Liting Zhou, Nopasit Chakpitak:
Few-shot image generation based on contrastive meta-learning generative adversarial network. Vis. Comput. 39(9): 4015-4028 (2023) - 2022
- [j5]Aniwat Phaphuangwittayakul, Yi Guo, Fangli Ying, Ahmad Yahya Dawod, Salita Angkurawaranon, Chaisiri Angkurawaranon:
An optimal deep learning framework for multi-type hemorrhagic lesions detection and quantification in head CT images for traumatic brain injury. Appl. Intell. 52(7): 7320-7338 (2022) - [j4]Irina Lebedeva, Yi Guo, Fangli Ying:
MEBeauty: a multi-ethnic facial beauty dataset in-the-wild. Neural Comput. Appl. 34(17): 14169-14183 (2022) - [j3]Aniwat Phaphuangwittayakul, Yi Guo, Fangli Ying:
Fast Adaptive Meta-Learning for Few-Shot Image Generation. IEEE Trans. Multim. 24: 2205-2217 (2022) - 2021
- [c2]Aniwat Phaphuangwittayakul, Yi Guo, Fangli Ying, Wentian Xu, Zheng Zheng:
Self-Attention Recurrent Summarization Network with Reinforcement Learning for Video Summarization Task. ICME 2021: 1-6
2010 – 2019
- 2017
- [c1]Zhanquan Wang, Bowen Lu, Fangli Ying, Man Kong, Minwei Tang:
Research of mining algorithms for uncertain spatio-temporal co-occurrence pattern. KST 2017: 12-17 - 2015
- [j2]Zhihua Chen, Yi Liu, Xiao-Long Xiao, Fangli Ying, Jing Zhang, Yubo Yuan:
Moving visual focus in salient object segmentation. IET Image Process. 9(9): 758-769 (2015) - 2010
- [j1]Fangli Ying, Peter Mooney, Padraig Corcoran, Adam C. Winstanley:
A model for progressive transmission of spatial data based on shape complexity. ACM SIGSPATIAL Special 2(3): 25-30 (2010)
Coauthor Index
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last updated on 2026-06-23 01:22 CEST by the dblp team
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