| Markov random field based convolutional neural networks for image classification Y Peng, H Yin Intelligent Data Engineering and Automated Learning–IDEAL 2017: 18th …, 2017 | 33 | 2017 |
| Early detection of plant virus infection using multispectral imaging and spatial–spectral machine learning Y Peng, MM Dallas, JT Ascencio-Ibáñez, JS Hoyer, J Legg, ... Scientific Reports 12 (1), 3113, 2022 | 20 | 2022 |
| Facial expression analysis and expression-invariant face recognition by manifold-based synthesis Y Peng, H Yin Machine Vision and Applications 29 (2), 263-284, 2018 | 19 | 2018 |
| SOMNet: unsupervised feature learning networks for image classification R Hankins, Y Peng, H Yin 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 10 | 2018 |
| ApprGAN: appearance-based GAN for facial expression synthesis Y Peng, H Yin IET Image Processing 13 (14), 2706-2715, 2019 | 9 | 2019 |
| Automatic SAR change detection based on visual saliency and multi-hierarchical fuzzy clustering Y Peng, B Cui, H Yin, Y Zhang, P Du IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 5 | 2022 |
| Data-Independent Feature Learning with Markov Random Fields in Convolutional Neural Networks Y Peng, R Hankins, H Yin Neurocomputing, 2019 | 5 | 2019 |
| Towards complex features: Competitive receptive fields in unsupervised deep networks R Hankins, Y Peng, H Yin International Conference on Intelligent Data Engineering and Automated …, 2018 | 5 | 2018 |
| Characterising Markov Random Fields and Coefficient of Variations as Measures of Spatial Distributions for Hyperspectral Image Classification B Cui, Y Peng, H Zhang, W Li, P Du IEEE Geoscience and Remote Sensing Letters, 2023 | 2 | 2023 |
| Deep neural networks with Markov random field models for image classification Y Peng, M Liu, H Yin Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th …, 2018 | 2 | 2018 |
| Enhanced Edge Information and Prototype Constrained Clustering for SAR Change Detection B Cui, Y Peng, Y Zhang, H Yin, H Fang, S Guo, P Du IEEE Transactions on Geoscience and Remote Sensing 62, 1-16, 2024 | 1 | 2024 |
| Markov Random Field Based Spectral-Spatial Fusion Network for Hyperspectral Image Classification Y Peng, B Cui IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 1 | 2022 |
| VISUAL PERCEPTION BASED SEMANTIC SAR CHANGE DETECTION Y Peng, B Cui IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | | 2022 |
| Unsupervised SAR Change Detection Method Based on Refined Sample Selection Y Peng, Z Wei, B Cui ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2022 | | 2022 |
| Image Quality Constrained GAN for Super-Resolution J Su, Y Peng, H Yin International Conference on Intelligent Data Engineering and Automated …, 2019 | | 2019 |
| Multi-Temporal High Resolution Aerial Image Registration Using Semantic Features A Gupta, Y Peng, S Watson, H Yin arXiv preprint arXiv:1908.11822, 2019 | | 2019 |
| Facial Expression Synthesis and Feature Learning for Convolutional Neural Networks Y Peng PQDT-Global, 2019 | | 2019 |
| Expression Classification and Intensity Estimation by Expression Manifold Synthesis Y Peng, H Yin Intelligent Data Engineering and Automated Learning–IDEAL 2016: 17th …, 2016 | | 2016 |
Hujun YinSchool of Electrical and Electronic Engineering, The University of Manchester在 manchester.ac.uk 的电子邮件经过验证
