Fangli Ying

According to our database, Fangli Ying authored at least 15 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

DTIQA: a dual-path transformer framework for robust No-Reference Image Quality Assessment.

Fangli Ying, Ahmed M. Al-Garadi, Mahzaib Khalid, Lihua Sun, Aniwat Phaphuangwittayakul, Liting Zhou, Cathal Gurrin

Vis. Comput., June, 2026

GAN semantics for personalized facial beauty synthesis and enhancement.

Irina Lebedeva, Fangli Ying, Yi Guo, Taihao Li

J. Vis. Commun. Image Represent., 2026

2025

Uncertainty-Aware Adjustment via Learnable Coefficients for Detailed 3D Reconstruction of Clothed Humans from Single Images.

Yadan Yang, Yunze Li, Fangli Ying, Aniwat Phaphuangwittayakul, Riyad Dhuny

Comput. Graph. Forum, 2025

Identity-Preserving Facial Aesthetic Enhancement via Hierarchical Prompt Learning and Pivotal Tuning.

Fangli Ying, Zhihong Zhang, Liting Zhou, Cathal Gurrin, Jinhai Wang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

RailTrack-DaViT: A Vision Transformer-Based Approach for Automated Railway Track Defect Detection.

Aniwat Phaphuangwittayakul, Napat Harnpornchai, Fangli Ying, Jinming Zhang

J. Imaging, August, 2024

2023

Few-shot image generation based on contrastive meta-learning generative adversarial network.

Aniwat Phaphuangwittayakul, Fangli Ying, Yi Guo, Liting Zhou, Nopasit Chakpitak

Vis. Comput., September, 2023

Personalized facial beauty assessment: a meta-learning approach.

Irina Lebedeva, Fangli Ying, Yi Guo

Vis. Comput., March, 2023

Adaptive adversarial prototyping network for few-shot prototypical translation.

Aniwat Phaphuangwittayakul, Fangli Ying, Yi Guo, Guohui, Surachai Santisookrat

J. Vis. Commun. Image Represent., 2023

2022

Fast Adaptive Meta-Learning for Few-Shot Image Generation.

Aniwat Phaphuangwittayakul, Yi Guo, Fangli Ying

IEEE Trans. Multim., 2022

MEBeauty: a multi-ethnic facial beauty dataset in-the-wild.

Irina Lebedeva, Yi Guo, Fangli Ying

Neural Comput. Appl., 2022

An optimal deep learning framework for multi-type hemorrhagic lesions detection and quantification in head CT images for traumatic brain injury.

Aniwat Phaphuangwittayakul, Yi Guo, Fangli Ying, Ahmad Yahya Dawod, Salita Angkurawaranon, Chaisiri Angkurawaranon

Appl. Intell., 2022

2021

Self-Attention Recurrent Summarization Network with Reinforcement Learning for Video Summarization Task.

Aniwat Phaphuangwittayakul, Yi Guo, Fangli Ying, Wentian Xu, Zheng Zheng

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2017

Research of mining algorithms for uncertain spatio-temporal co-occurrence pattern.

Zhanquan Wang, Bowen Lu, Fangli Ying, Man Kong, Minwei Tang

Proceedings of the 9th International Conference on Knowledge and Smart Technology, 2017

2015

Moving visual focus in salient object segmentation.

Zhihua Chen, Yi Liu, Xiao-Long Xiao, Fangli Ying, Jing Zhang, Yubo Yuan

IET Image Process., 2015

2010

A model for progressive transmission of spatial data based on shape complexity.

Fangli Ying, Peter Mooney, Padraig Corcoran, Adam C. Winstanley

ACM SIGSPATIAL Special, 2010