| Leveraging the invariant side of generative zero-shot learning J Li, M Jing, K Lu, Z Ding, L Zhu, Z Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 393 | 2019 |
| Multimodal graph-based reranking for web image search M Wang, H Li, D Tao, K Lu, X Wu IEEE transactions on image processing 21 (11), 4649-4661, 2012 | 390 | 2012 |
| Deep learning for medical image analysis SK Zhou, H Greenspan, D Shen Academic Press, 2023 | 376 | 2023 |
| Maximum density divergence for domain adaptation J Li, E Chen, Z Ding, L Zhu, K Lu, HT Shen IEEE transactions on pattern analysis and machine intelligence 43 (11), 3918 …, 2020 | 314 | 2020 |
| Transfer independently together: A generalized framework for domain adaptation J Li, K Lu, Z Huang, L Zhu, HT Shen IEEE transactions on cybernetics 49 (6), 2144-2155, 2018 | 296 | 2018 |
| Locality preserving joint transfer for domain adaptation J Li, M Jing, K Lu, L Zhu, HT Shen IEEE Transactions on Image Processing 28 (12), 6103-6115, 2019 | 244 | 2019 |
| Learning spatio-temporal representations for action recognition: A genetic programming approach L Liu, L Shao, X Li, K Lu IEEE transactions on cybernetics 46 (1), 158-170, 2015 | 232 | 2015 |
| Representative discovery of structure cues for weakly-supervised image segmentation L Zhang, Y Gao, Y Xia, K Lu, J Shen, R Ji IEEE transactions on multimedia 16 (2), 470-479, 2013 | 226 | 2013 |
| Heterogeneous domain adaptation through progressive alignment J Li, K Lu, Z Huang, L Zhu, HT Shen IEEE transactions on neural networks and learning systems 30 (5), 1381-1391, 2018 | 214 | 2018 |
| Single image dehazing with a physical model and dark channel prior JB Wang, N He, LL Zhang, K Lu Neurocomputing 149, 718-728, 2015 | 204 | 2015 |
| Cross-domain gradient discrepancy minimization for unsupervised domain adaptation Z Du, J Li, H Su, L Zhu, K Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 198 | 2021 |
| A real-time hand posture recognition system using deep neural networks A Tang, K Lu, Y Wang, J Huang, H Li ACM Transactions on Intelligent Systems and Technology (TIST) 6 (2), 1-23, 2015 | 191 | 2015 |
| Shape-adaptive selection and measurement for oriented object detection L Hou, K Lu, J Xue, Y Li Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 923-932, 2022 | 180 | 2022 |
| From zero-shot learning to cold-start recommendation J Li, M Jing, K Lu, L Zhu, Y Yang, Z Huang Proceedings of the AAAI conference on artificial intelligence 33 (01), 4189-4196, 2019 | 172 | 2019 |
| View-based discriminative probabilistic modeling for 3D object retrieval and recognition M Wang, Y Gao, K Lu, Y Rui IEEE Transactions on Image Processing 22 (4), 1395-1407, 2012 | 148 | 2012 |
| Single image dehazing based on the physical model and MSRCR algorithm J Wang, K Lu, J Xue, N He, L Shao IEEE Transactions on Circuits and Systems for Video Technology 28 (9), 2190-2199, 2017 | 146 | 2017 |
| An improved fractional-order differentiation model for image denoising N He, JB Wang, LL Zhang, K Lu signal Processing 112, 180-188, 2015 | 139 | 2015 |
| A novel approach of lung segmentation on chest CT images using graph cuts S Dai, K Lu, J Dong, Y Zhang, Y Chen Neurocomputing 168, 799-807, 2015 | 138 | 2015 |
| Transzero: Attribute-guided transformer for zero-shot learning S Chen, Z Hong, Y Liu, GS Xie, B Sun, H Li, Q Peng, K Lu, X You Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 330-338, 2022 | 137 | 2022 |
| Robust object removal with an exemplar-based image inpainting approach J Wang, K Lu, D Pan, N He, B Bao Neurocomputing 123, 150-155, 2014 | 127 | 2014 |
Huiguang HeInstitute of Automation, Chinese Academy of ScinecesVerified email at ia.ac.cn
