Yao Peng

According to our database, Yao Peng authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhanced Edge Information and Prototype Constrained Clustering for SAR Change Detection.

Bin Cui, Yao Peng, Yonghong Zhang, Hujun Yin, Hong Fang, Shanchuan Guo, Peijun Du

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Characterizing Markov Random Fields and Coefficient of Variations as Measures of Spatial Distributions for Hyperspectral Image Classification.

Bin Cui, Yao Peng, Hao Zhang, Wenmei Li, Peijun Du

IEEE Geosci. Remote. Sens. Lett., 2023

2022

Automatic SAR Change Detection Based on Visual Saliency and Multi-Hierarchical Fuzzy Clustering.

Yao Peng, Bin Cui, Hujun Yin, Yonghong Zhang, Peijun Du

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Markov Random Field Based Spectral-Spatial Fusion Network for Hyperspectral Image Classification.

Yao Peng, Bin Cui

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Visual Perception Based Semantic SAR Change Detection.

Yao Peng, Bin Cui

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2020

Data-Independent Feature Learning with Markov Random Fields in Convolutional Neural Networks.

Yao Peng, Richard Hankins, Hujun Yin

Neurocomputing, 2020

2019

Facial expression synthesis and feature learning for convolutional neural networks.

Yao Peng

PhD thesis, 2019

ApprGAN: appearance-based GAN for facial expression synthesis.

Yao Peng, Hujun Yin

IET Image Process., 2019

Multi-Temporal High Resolution Aerial Image Registration Using Semantic Features.

Ananya Gupta, Yao Peng, Simon Watson, Hujun Yin

CoRR, 2019

Image Quality Constrained GAN for Super-Resolution.

Jingwen Su, Yao Peng, Hujun Yin

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Multitemporal Aerial Image Registration Using Semantic Features.

Ananya Gupta, Yao Peng, Simon Watson, Hujun Yin

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

2018

Facial expression analysis and expression-invariant face recognition by manifold-based synthesis.

Yao Peng, Hujun Yin

Mach. Vis. Appl., 2018

SOMNet: Unsupervised Feature Learning Networks for Image Classification.

Richard Hankins, Yao Peng, Hujun Yin

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Neural Networks with Markov Random Field Models for Image Classification.

Yao Peng, Menyu Liu, Hujun Yin

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks.

Richard Hankins, Yao Peng, Hujun Yin

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2017

Markov Random Field Based Convolutional Neural Networks for Image Classification.

Yao Peng, Hujun Yin

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

2016

Expression Classification and Intensity Estimation by Expression Manifold Synthesis.

Yao Peng, Hujun Yin

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016