| 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 | 1192 | 2020 |
| Low-dose CT via convolutional neural network H Chen, Y Zhang, W Zhang, P Liao, K Li, J Zhou, G Wang Biomedical optics express 8 (2), 679-694, 2017 | 751 | 2017 |
| Rotation-insensitive and context-augmented object detection in remote sensing images K Li, G Cheng, S Bu, X You IEEE Transactions on Geoscience and Remote Sensing 56 (4), 2337-2348, 2017 | 397 | 2017 |
| Learning to optimize K Li, J Malik arXiv preprint arXiv:1606.01885, 2016 | 394 | 2016 |
| Learning through dialogue interactions by asking questions J Li, AH Miller, S Chopra, MA Ranzato, J Weston arXiv preprint arXiv:1612.04936, 2016 | 352 | 2016 |
| Object detection in videos with tubelet proposal networks K Kang, H Li, T Xiao, W Ouyang, J Yan, X Liu, X Wang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 241 | 2017 |
| Anchor-free oriented proposal generator for object detection G Cheng, J Wang, K Li, X Xie, C Lang, Y Yao, J Han IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2022 | 205 | 2022 |
| Iterative instance segmentation K Li, B Hariharan, J Malik Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 181 | 2016 |
| Low-dose CT denoising with convolutional neural network H Chen, Y Zhang, W Zhang, P Liao, K Li, J Zhou, G Wang 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 158 | 2017 |
| Amodal instance segmentation K Li, J Malik Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 146 | 2016 |
| Learning to optimize neural nets K Li, J Malik arXiv preprint arXiv:1703.00441, 2017 | 145 | 2017 |
| Prototype-CNN for few-shot object detection in remote sensing images G Cheng, B Yan, P Shi, K Li, X Yao, L Guo, J Han IEEE Transactions on Geoscience and Remote Sensing 60, 1-10, 2021 | 109 | 2021 |
| Generalising fine-grained sketch-based image retrieval K Pang, K Li, Y Yang, H Zhang, TM Hospedales, T Xiang, YZ Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 102 | 2019 |
| Implicit maximum likelihood estimation K Li, J Malik arXiv preprint arXiv:1809.09087, 2018 | 101 | 2018 |
| Predicting mortality of patients with acute kidney injury in the ICU using XGBoost model J Liu, J Wu, S Liu, M Li, K Hu, K Li Plos one 16 (2), e0246306, 2021 | 85 | 2021 |
| Diverse image synthesis from semantic layouts via conditional imle K Li, T Zhang, J Malik Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 80 | 2019 |
| Perturbation-seeking generative adversarial networks: A defense framework for remote sensing image scene classification G Cheng, X Sun, K Li, L Guo, J Han IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2021 | 78 | 2021 |
| Fractional anisotropy alterations in individuals born preterm: A diffusion tensor imaging meta‐analysis K Li, Z Sun, Y Han, L Gao, L Yuan, D Zeng Developmental Medicine & Child Neurology 57 (4), 328-338, 2015 | 76 | 2015 |
| Real-time detection of acute cognitive stress using a convolutional neural network from electrocardiographic signal J He, K Li, X Liao, P Zhang, N Jiang IEEE Access 7, 42710-42717, 2019 | 73 | 2019 |
| An efficient deep convolutional neural networks model for compressed image deblocking K Li, B Bare, B Yan 2017 IEEE International Conference on Multimedia and Expo (ICME), 1320-1325, 2017 | 70 | 2017 |
