| Remote sensing image scene classification: benchmark and state of the art G Cheng, J Han, X Lu Proceedings of the IEEE 105 (10), 1865-1883, 2017 | 1613 | 2017 |
| Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images G Cheng, P Zhou, J Han IEEE Transactions on Geoscience and Remote Sensing 54 (12), 7405-7415, 2016 | 1373 | 2016 |
| A survey on object detection in optical remote sensing images G Cheng, J Han ISPRS Journal of Photogrammetry and Remote Sensing 117, 11-28, 2016 | 1115 | 2016 |
| When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs G Cheng, C Yang, X Yao, L Guo, J Han IEEE Transactions on Geoscience and Remote Sensing, 2018 | 988 | 2018 |
| Dhsnet: Deep hierarchical saliency network for salient object detection N Liu, J Han Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, 678-686, 2016 | 809 | 2016 |
| PiCANet: Learning Pixel-wise Contextual Attention in ConvNets and Its Application in Saliency Detection N Liu, J Han arXiv preprint arXiv:1708.06433, 2017 | 730* | 2017 |
| Object detection in optical remote sensing images based on weakly supervised learning and high-level feature learning J Han, D Zhang, G Cheng, L Guo, J Ren IEEE Transactions on Geoscience and Remote Sensing 53 (6), 3325-3337, 2015 | 708 | 2015 |
| Object detection in optical remote sensing images: A survey and a new benchmark K Li, G Wan, G Cheng, L Meng, J Han ISPRS Journal of Photogrammetry and Remote Sensing 159, 296-307, 2020 | 659 | 2020 |
| Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey J Han, D Zhang, G Cheng, N Liu, D Xu IEEE Signal Processing Magazine 35 (1), 84-100, 2018 | 590 | 2018 |
| Multi-class geospatial object detection and geographic image classification based on collection of part detectors G Cheng, J Han, P Zhou, L Guo ISPRS Journal of Photogrammetry and Remote Sensing 98, 119-132, 2014 | 584 | 2014 |
| Unsupervised extraction of visual attention objects in color images J Han, KN Ngan, M Li, HJ Zhang IEEE Transactions on Circuits and Systems for Video Technology 16 (1), 141-145, 2006 | 501 | 2006 |
| Co-saliency detection via a self-paced multiple-instance learning framework D Zhang, D Meng, J Han IEEE transactions on pattern analysis and machine intelligence 39 (5), 865-878, 2017 | 485 | 2017 |
| Background prior-based salient object detection via deep reconstruction residual J Han, D Zhang, X Hu, L Guo, J Ren, F Wu IEEE Transactions on Circuits and Systems for Video Technology 25 (8), 1309-1321, 2015 | 442 | 2015 |
| Remote sensing image scene classification meets deep learning: Challenges, methods, benchmarks, and opportunities G Cheng, X Xie, J Han, L Guo, GS Xia IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 391 | 2020 |
| CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion J Han, H Chen, N Liu, C Yan, X Li IEEE Transactions on Cybernetics, 2017 | 334 | 2017 |
| Learning rotation-invariant and fisher discriminative convolutional neural networks for object detection G Cheng, J Han, P Zhou, D Xu IEEE Transactions on Image Processing 28 (1), 265-278, 2019 | 333 | 2019 |
| Semantic annotation of high-resolution satellite images via weakly supervised learning X Yao, J Han, G Cheng, X Qian, L Guo IEEE Transactions on Geoscience and Remote Sensing 54 (6), 3660-3671, 2016 | 314 | 2016 |
| Effective and efficient midlevel visual elements-oriented land-use classification using VHR remote sensing images G Cheng, J Han, L Guo, Z Liu, S Bu, J Ren IEEE Transactions on Geoscience and Remote Sensing 53 (8), 4238-4249, 2015 | 307 | 2015 |
| Detection of co-salient objects by looking deep and wide D Zhang, J Han, C Li, J Wang, X Li International Journal of Computer Vision 120 (2), 215-232, 2016 | 302 | 2016 |
| Predicting eye fixations using convolutional neural networks N Liu, J Han, D Zhang, S Wen, T Liu Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on, 362-370, 2015 | 282 | 2015 |
