Yongqiang Zhang
Orcid: 0000-0001-5809-4829Affiliations:
- NetEase Fuxi AI Lab, Hangzhou, China
- Harbin Institute of Technology, China (former)
According to our database1,
Yongqiang Zhang
authored at least 18 papers
between 2013 and 2024.
Collaborative distances:
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Timeline
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Bibliography
2024
Calligraphy Font Generation via Explicitly Modeling Location-Aware Glyph Component Deformations.
IEEE Trans. Multim., 2024
CPT-VR: Improving Surface Rendering via Closest Point Transform with View-Reflection Appearance.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Appl. Intell., December, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
NeFII: Inverse Rendering for Reflectance Decomposition with Near-Field Indirect Illumination.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2020
Non-convex low-rank representation combined with rank-one matrix sum for subspace clustering.
Soft Comput., 2020
Affinity matrix with large eigenvalue gap for graph-based subspace clustering and semi-supervised classification.
Eng. Appl. Artif. Intell., 2020
2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
2017
Supervised coordinate descent method with a 3D bilinear model for face alignment and tracking.
Comput. Animat. Virtual Worlds, 2017
Robust facial landmark detection and tracking across poses and expressions for in-the-wild monocular video.
Comput. Vis. Media, 2017
An advanced level set method based on Bregman divergence for inhomogeneous image segmentation.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Sign-Correlation Partition Based on Global Supervised Descent Method for Face Alignment.
Proceedings of the Computer Vision - ACCV 2016, 2016
2013
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013