Yongqiang Zhang

Orcid: 0000-0001-5809-4829

Affiliations:
  • NetEase Fuxi AI Lab, Hangzhou, China
  • Harbin Institute of Technology, China (former)


According to our database1, Yongqiang Zhang authored at least 17 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Calligraphy Font Generation via Explicitly Modeling Location-Aware Glyph Component Deformations.
IEEE Trans. Multim., 2024

2023
Deep learning applications in games: a survey from a data perspective.
Appl. Intell., December, 2023

Towards Unbiased Volume Rendering of Neural Implicit Surfaces with Geometry Priors.
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
Sign correlation subspace for face alignment.
Soft Comput., 2019

Sign-correlation cascaded regression for face alignment.
Multim. Tools Appl., 2019

Semi-Supervised Eye Makeup Transfer by Swapping Learned Representation.
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

Robust visual tracking based on L1 expanded template.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

Low-Rank-Sparse Subspace Representation for Robust Regression.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
LRSR: Low-Rank-Sparse representation for subspace clustering.
Neurocomputing, 2016

Sign-Correlation Partition Based on Global Supervised Descent Method for Face Alignment.
Proceedings of the Computer Vision - ACCV 2016, 2016

2013
Waveform classification based on wavelet transform and K-means clustering.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013


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