Lei Zhou

Orcid: 0000-0001-6805-0168

Affiliations:
  • Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China


According to our database1, Lei Zhou authored at least 21 papers between 2012 and 2020.

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

Timeline

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Bibliography

2020
FC-RCCN: Fully convolutional residual continuous CRF network for semantic segmentation.
Pattern Recognit. Lett., 2020

2019
Superpixel based continuous conditional random field neural network for semantic segmentation.
Neurocomputing, 2019

2018
Deep multiple instance learning for automatic detection of diabetic retinopathy in retinal images.
IET Image Process., 2018

2017
New Algorithms for Encoding, Learning and Classification of fMRI Data in a Spiking Neural Network Architecture: A Case on Modeling and Understanding of Dynamic Cognitive Processes.
IEEE Trans. Cogn. Dev. Syst., 2017

Improving dense conditional random field for retinal vessel segmentation by discriminative feature learning and thin-vessel enhancement.
Comput. Methods Programs Biomed., 2017

Self-paced least square semi-coupled dictionary learning for person re-identification.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications.
Neural Networks, 2016

Learning a Discriminative Dictionary with CNN for Image Classification.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Automatic hemorrhage detection in color fundus images based on gradual removal of vascular branches.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Abnormal event detection using spatio-temporal feature and nonnegative locality-constrained linear coding.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Scalable Semi-Supervised Classification via Neumann Series.
Neural Process. Lett., 2015

On feature-specific parameter learning in conditional random field-based approach for interactive object segmentation.
J. Electronic Imaging, 2015

2014
Bayesian salient object detection based on saliency driven clustering.
Signal Process. Image Commun., 2014

Interactive segmentation based on iterative learning for multiple-feature fusion.
Neurocomputing, 2014

Unsupervised Segmentation Using Cluster Ensembles.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Saliency detection via foreground rendering and background exclusion.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Saliency driven clustering for salient object detection.
Proceedings of the IEEE International Conference on Acoustics, 2014

Saliency detection based on extended boundary prior with foci of attention.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Salient Object Segmentation Based on Automatic Labeling.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

An active contour model based on multiple boundary measures.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Learning geodesic CRF model for image segmentation.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012


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