| Multi-temporal RADARSAT-2 polarimetric SAR data for urban land-cover classification using an object-based support vector machine and a rule-based approach X Niu, Y Ban International journal of remote sensing 34 (1), 1-26, 2013 | 150 | 2013 |
| Urban land use and land cover classification using remotely sensed SAR data through deep belief networks Q Lv, Y Dou, X Niu, J Xu, J Xu, F Xia Journal of Sensors 2015, 2015 | 129 | 2015 |
| Airport detection on optical satellite images using deep convolutional neural networks P Zhang, X Niu, Y Dou, F Xia IEEE Geoscience and Remote Sensing Letters 14 (8), 1183-1187, 2017 | 95 | 2017 |
| A mobile recommendation system based on logistic regression and gradient boosting decision trees Y Wang, D Feng, D Li, X Chen, Y Zhao, X Niu 2016 international joint conference on neural networks (IJCNN), 1896-1902, 2016 | 77 | 2016 |
| Remote sensing image classification based on DBN model Q Lv, Y Dou, X Niu, JQ Xu, F Xia Journal of computer research and development 51 (9), 1911-1918, 2014 | 55 | 2014 |
| Region-based convolutional neural networks for object detection in very high resolution remote sensing images YS Cao, X Niu, Y Dou 2016 12th International Conference on Natural Computation, Fuzzy Systems and …, 2016 | 54 | 2016 |
| Classification of hyperspectral remote sensing image using hierarchical local-receptive-field-based extreme learning machine Q Lv, X Niu, Y Dou, J Xu, Y Lei IEEE Geoscience and Remote Sensing Letters 13 (3), 434-438, 2016 | 53 | 2016 |
| Classification of land cover based on deep belief networks using polarimetric RADARSAT-2 data Q Lv, Y Dou, X Niu, J Xu, B Li 2014 IEEE Geoscience and Remote Sensing Symposium, 4679-4682, 2014 | 53 | 2014 |
| An adaptive contextual SEM algorithm for urban land cover mapping using multitemporal high-resolution polarimetric SAR data X Niu, Y Ban IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2012 | 49 | 2012 |
| A fast and memory saved GPU acceleration algorithm of convolutional neural networks for target detection S Li, Y Dou, X Niu, Q Lv, Q Wang Neurocomputing 230, 48-59, 2017 | 36 | 2017 |
| Annealed gradient descent for deep learning H Pan, X Niu, RC Li, Y Dou, H Jiang Neurocomputing 380, 201-211, 2020 | 32 | 2020 |
| A piecewise-based contrast enhancement framework for low lighting video D Wang, X Niu, Y Dou Proceedings 2014 IEEE International Conference on Security, Pattern Analysis …, 2014 | 30 | 2014 |
| Ship detection using transfer learned single shot multi box detector GH Nie, P Zhang, X Niu, Y Dou, F Xia ITM web of conferences 12, 01006, 2017 | 27 | 2017 |
| A novel contextual classification algorithm for multitemporal polarimetric SAR data X Niu, Y Ban IEEE geoscience and remote sensing letters 11 (3), 681-685, 2013 | 26 | 2013 |
| Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification. R Jin, Y Dou, Y Wang, X Niu IJCAI, 1980-1986, 2017 | 22 | 2017 |
| Hierarchical segmentation of multitemporal RADARSAT-2 SAR data using stationary wavelet transform and algebraic multigrid method J Deng, Y Ban, J Liu, L Li, X Niu, B Zou IEEE transactions on geoscience and remote sensing 52 (7), 4353-4363, 2013 | 22 | 2013 |
| DropFilterR: a novel regularization method for learning convolutional neural networks H Pan, X Niu, R Li, S Shen, Y Dou Neural Processing Letters 51, 1285-1298, 2020 | 18 | 2020 |
| A local–global mixed kernel with reproducing property L Xu, X Niu, J Xie, A Abel, B Luo Neurocomputing 168, 190-199, 2015 | 17 | 2015 |
| Supervised adversarial networks for image saliency detection H Pan, X Niu, R Li, S Shen, Y Dou Eleventh international conference on graphics and image processing (ICGIP …, 2020 | 15 | 2020 |
| Heterogeneous blocked CPU-GPU accelerate scheme for large scale extreme learning machine S Li, X Niu, Y Dou, Q Lv, Y Wang Neurocomputing 261, 153-163, 2017 | 14 | 2017 |
Yifang BanKTH Royal Institute of TechnologyVerified email at kth.se
