| Deep learning for generic object detection: A survey L Liu, W Ouyang, X Wang, P Fieguth, J Chen, X Liu, M Pietikäinen International journal of computer vision 128, 261-318, 2020 | 2982 | 2020 |
| A review of uncertainty quantification in deep learning: Techniques, applications and challenges M Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, ... Information fusion 76, 243-297, 2021 | 1863 | 2021 |
| Deep learning for 3d point clouds: A survey Y Guo, H Wang, Q Hu, H Liu, L Liu, M Bennamoun IEEE transactions on pattern analysis and machine intelligence 43 (12), 4338 …, 2020 | 1814 | 2020 |
| Median robust extended local binary pattern for texture classification L Liu, S Lao, PW Fieguth, Y Guo, X Wang, M Pietikäinen IEEE Transactions on Image Processing 25 (3), 1368-1381, 2016 | 510 | 2016 |
| Binary multi-view clustering Z Zhang, L Liu, F Shen, HT Shen, L Shao IEEE transactions on pattern analysis and machine intelligence 41 (7), 1774-1782, 2018 | 509 | 2018 |
| Local binary features for texture classification: Taxonomy and experimental study L Liu, P Fieguth, Y Guo, X Wang, M Pietikäinen Pattern Recognition 62, 135-160, 2017 | 431 | 2017 |
| Extended local binary patterns for texture classification L Liu, L Zhao, Y Long, G Kuang, P Fieguth Image and Vision Computing 30 (2), 86-99, 2012 | 408 | 2012 |
| Texture classification from random features L Liu, P Fieguth IEEE transactions on pattern analysis and machine intelligence 34 (3), 574-586, 2012 | 388 | 2012 |
| Unsupervised deep hashing with similarity-adaptive and discrete optimization F Shen, Y Xu, L Liu, Y Yang, Z Huang, HT Shen IEEE transactions on pattern analysis and machine intelligence 40 (12), 3034 …, 2018 | 368 | 2018 |
| From BoW to CNN: Two decades of texture representation for texture classification L Liu, J Chen, P Fieguth, G Zhao, R Chellappa, M Pietikäinen International Journal of Computer Vision 127, 74-109, 2019 | 361 | 2019 |
| An adaptive and fast CFAR algorithm based on automatic censoring for target detection in high-resolution SAR images G Gao, L Liu, L Zhao, G Shi, G Kuang IEEE transactions on geoscience and remote sensing 47 (6), 1685-1697, 2008 | 359 | 2008 |
| Learning discriminative representations from RGB-D video data L Liu, L Shao Twenty-third international joint conference on artificial intelligence, 2013 | 358 | 2013 |
| Automated visual defect detection for flat steel surface: A survey Q Luo, X Fang, L Liu, C Yang, Y Sun IEEE Transactions on Instrumentation and Measurement 69 (3), 626-644, 2020 | 350 | 2020 |
| Feature learning for image classification via multiobjective genetic programming L Shao, L Liu, X Li IEEE Transactions on Neural Networks and Learning Systems 25 (7), 1359-1371, 2013 | 311 | 2013 |
| Attentive region embedding network for zero-shot learning GS Xie, L Liu, X Jin, F Zhu, Z Zhang, J Qin, Y Yao, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 297 | 2019 |
| Deep sketch hashing: Fast free-hand sketch-based image retrieval L Liu, F Shen, Y Shen, X Liu, L Shao Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 293 | 2017 |
| Collaborative learning of semi-supervised segmentation and classification for medical images Y Zhou, X He, L Huang, L Liu, F Zhu, S Cui, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 265 | 2019 |
| Pixel difference networks for efficient edge detection Z Su, W Liu, Z Yu, D Hu, Q Liao, Q Tian, M Pietikäinen, L Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 262 | 2021 |
| Ranet: Ranking attention network for fast video object segmentation Z Wang, J Xu, L Liu, F Zhu, L Shao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 244 | 2019 |
| Star: A structure and texture aware retinex model J Xu, Y Hou, D Ren, L Liu, F Zhu, M Yu, H Wang, L Shao IEEE Transactions on Image Processing 29, 5022-5037, 2020 | 230 | 2020 |
