lei zhou
lei zhou
Shanghai Jiao Tong university && University of shanghai for science and technology
Verified email at alumni.sjtu.edu.cn
Cited by
Cited by
Variational Autoencoder for Low Bit-rate Image Compression.
L Zhou, C Cai, Y Gao, S Su, J Wu
CVPR Workshops, 2617-2620, 2018
Improving dense conditional random field for retinal vessel segmentation by discriminative feature learning and thin-vessel enhancement
L Zhou, Q Yu, X Xu, Y Gu, J Yang
Computer methods and programs in biomedicine 148, 13-25, 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
N Kasabov, L Zhou, MG Doborjeh, ZG Doborjeh, J Yang
IEEE Transactions on Cognitive and Developmental Systems 9 (4), 293-303, 2016
Design methodology and selected applications of evolving spatio-temporal data machines in the NeuCube neuromorphic framework
N Kasabov, N Scott, E Tu, S Marks, N Sengupta, E Capecci, M Othman, ...
Neural Networks 78 (2016)), 1-14, 2016
End-to-end Optimized Image Compression with Attention Mechanism.
L Zhou, Z Sun, X Wu, J Wu
CVPR Workshops, 0, 2019
Bayesian salient object detection based on saliency driven clustering
L Zhou, K Fu, Y Li, Y Qiao, X He, J Yang
Signal Processing: Image Communication 29 (3), 434-447, 2014
Face parsing via a fully-convolutional continuous CRF neural network
L Zhou, Z Liu, X He
arXiv preprint arXiv:1708.03736, 2017
Automatic hemorrhage detection in color fundus images based on gradual removal of vascular branches
L Zhou, P Li, Q Yu, Y Qiao, J Yang
2016 IEEE International Conference on Image Processing (ICIP), 399-403, 2016
Superpixel based continuous conditional random field neural network for semantic segmentation
L Zhou, K Fu, Z Liu, F Zhang, Z Yin, J Zheng
Neurocomputing 340, 196-210, 2019
Interactive segmentation based on iterative learning for multiple-feature fusion
L Zhou, Y Qiao, Y Li, XJ He, J Yang
Neurocomputing 135, 240-252, 2014
Learning geodesic CRF model for image segmentation
L Zhou, Y Qiao, J Yang, X He
2012 19th IEEE International Conference on Image Processing, 1565-1568, 2012
FC-RCCN: Fully convolutional residual continuous CRF network for semantic segmentation
L Zhou, X Kong, C Gong, F Zhang, X Zhang
Pattern Recognition Letters 130, 54-63, 2020
Saliency driven clustering for salient object detection
L Zhou, YJ Li, YP Song, Y Qiao, J Yang
2014 IEEE international conference on acoustics, speech and signal …, 2014
Scalable semi-supervised classification via Neumann series
C Gong, K Fu, L Zhou, J Yang, X He
Neural Processing Letters 42 (1), 187-197, 2015
Learning a Discriminative Dictionary with CNN for Image Classification
S Yu, T Zhang, C Ma, L Zhou, J Yang, X He
International Conference on Neural Information Processing, 185-194, 2016
An active contour model based on multiple boundary measures
L Zhou, Y Qiao, J Yang, Y Gao
2013 IEEE International Conference on Image Processing, 524-528, 2013
DIC: Deep Image Clustering for Unsupervised Image Segmentation
L Zhou, W Wei
IEEE Access 8, 34481-34491, 2020
Unsupervised segmentation using cluster ensembles
W Zhang, J Yang, W Jia, N Kasabov, Z Jia, L Zhou
International Conference on Neural Information Processing, 76-84, 2014
Salient Object Segmentation Based on Automatic Labeling
L Zhou, C Gong, YJ Li, Y Qiao, J Yang, N Kasabov
International Conference on Neural Information Processing, 584-591, 2013
SAL: Selection and Attention Losses for Weakly Supervised Semantic Segmentation
L Zhou, C Gong, Z Liu, K Fu
IEEE Transactions on Multimedia, 2020
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