Lei Zhang

Orcid: 0000-0002-8494-0504

Affiliations:
  • Guangdong University of Petrochemical Technology, College of Computer Science, Maoming, China
  • Harbin Engineering University, College of Information and Communication Engineering, China (2005 - 2017)
  • Harbin Institute of Technology, China (PhD 2004)


According to our database1, Lei Zhang authored at least 29 papers between 2012 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Variational Neuron Shifting for Few-Shot Image Classification Across Domains.
IEEE Trans. Multim., 2024

2023
Learning to Learn With Variational Inference for Cross-Domain Image Classification.
IEEE Trans. Multim., 2023

2022
Variational Hyperparameter Inference for Few-Shot Learning Across Domains.
IEEE Trans. Circuits Syst. Video Technol., 2022

Spherical Zero-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Meta conditional variational auto-encoder for domain generalization.
Comput. Vis. Image Underst., 2022

2021
Learning to Adapt With Memory for Probabilistic Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2021

A Comprehensive Study on VLAD.
Neural Process. Lett., 2021

Unbalanced data processing using deep sparse learning technique.
Future Gener. Comput. Syst., 2021

Assessment of Extreme Communication Environment With Ultralow SNR: A Benchmark.
IEEE Access, 2021

2020
Calibrated Multivariate Regression Networks.
IEEE Trans. Circuits Syst. Video Technol., 2020

Heterogenous output regression network for direct face alignment.
Pattern Recognit., 2020

Video event classification based on two-stage neural network.
Multim. Tools Appl., 2020

Variational Image Deraining.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019
Learning Match Kernels on Grassmann Manifolds for Action Recognition.
IEEE Trans. Image Process., 2019

Cosine Activation in Compact Network (CACN): Application to Scene Classification.
IEEE Access, 2019

Towards Optimal VLAD for Visual Recognition.
Proceedings of the 6th IEEE International Conference on Cloud Computing and Intelligence Systems, 2019

2018
Spatial Ensemble Kernel Learning for Scene Classification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Learning discriminant grassmann kernels for image-set classification.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Realistic human action recognition: When CNNS meet LDS.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Towards optimal VLAD for human action recognition from still images.
Image Vis. Comput., 2016

Towards optimal vlad for human action recognition from still images.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Realistic human action recognition: When deep learning meets VLAD.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Dimensionality reduction by supervised locality analysis.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Learning Object-to-Class Kernels for Scene Classification.
IEEE Trans. Image Process., 2014

Learning semantic kernels for scene classification.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Discriminative high-level representations for scene classification.
Proceedings of the IEEE International Conference on Image Processing, 2013

Recognizing actions via sparse coding on structure projection.
Proceedings of the IEEE International Conference on Image Processing, 2013

Towards optimal object bank for scene classification.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
High order co-occurrence of visualwords for action recognition.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012


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