Hua Zhang

Affiliations:
  • Zhejiang Gongshang University, Hangzhou
  • University of Alberta
  • Nankai University


According to our database1, Hua Zhang authored at least 13 papers between 2008 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
DecoupledPoseNet: Cascade Decoupled Pose Learning for Unsupervised Camera Ego-Motion Estimation.
IEEE Trans. Multim., 2023

2020
Depth-guided view synthesis for light field reconstruction from a single image.
Image Vis. Comput., 2020

2018
Fast Depth Intra Mode Decision Based on DCT in 3D-HEVC.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Scale and Orientation Aware EPI-Patch Learning for Light Field Depth Estimation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
EPI-Patch Based Convolutional Neural Network for Depth Estimation on 4D Light Field.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Distributed Compressive Sensing for Light Field Reconstruction Using Structured Random Matrix.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

3D-SUSAN: A robust extension of 2D SUSAN operator for 3D interest points detection.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2014
Sequence-based Gaussian network model for protein dynamics.
Bioinform., 2014

2012
Study on subtractive clustering video moving object locating method with introduction of eigengap.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
Critical assessment of high-throughput standalone methods for secondary structure prediction.
Briefings Bioinform., 2011

Weber's Law Based Center-Surround Hypothesis for Bottom-Up Saliency Detection.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2008
Sequence based residue depth prediction using evolutionary information and predicted secondary structure.
BMC Bioinform., 2008

Accurate sequence-based prediction of catalytic residues.
Bioinform., 2008


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