| 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 (2), 261–318, 2020 | 3875 | 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 (https://arxiv.org/abs/2011.06225) 76, 243–297, 2021 | 3389 | 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 (https …, 2020 | 2816 | 2020 |
| Pixel Difference Networks for Efficient Edge Detection Z Su, W Liu, Z Yu, D Hu, Q Liao, Q Tian, M Pietikäinen, L Liu* International Conference on Computer Vision (ICCV, Oral Presentation), 2021 | 606 | 2021 |
| 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, 2020 | 571 | 2020 |
| Median Robust Extended Local Binary Pattern for Texture Classification L Liu*, S Lao, PW Fieguth, Y Guo, X Wang, M Pietikainen IEEE Transactions on Image Processing 25 (3), 1368-1381, 2016 | 536 | 2016 |
| Median Robust Extended Local Binary Pattern for Texture Classification L Liu*, P Fieguth, M Pietikainen, S Lao 2015 IEEE International Conference on Image Processing (ICIP), 2319-2323, 2015 | 536 | 2015 |
| From BoW to CNN: Two Decades of Texture Representation for Texture Classification L Liu*, J Chen, P Fieguth, G Zhao, R Chellappa, M Pietikainen International Journal of Computer Vision, 1-28, 2019 | 483* | 2019 |
| Local Binary Features for Texture Classification: Taxonomy and Experimental Study L Liu*, P Fieguth, Y Guo, X Wang, M Pietikäinen Pattern Recognition 62 (2), 135–160, 2017 | 458 | 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 | 436 | 2012 |
| 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 Geoscience and Remote Sensing, IEEE Transactions on 47 (6), 1685-1697, 2009 | 405 | 2009 |
| Texture classification from random features L Liu*, PW Fieguth Pattern Analysis and Machine Intelligence, IEEE Transactions on 34 (3), 574-586, 2012 | 397 | 2012 |
| Efficient and Effective Regularized Incomplete Multiview Clustering X Liu, M Li, C Tang, J Xia, J Xiong, L Liu, M Kloft, E Zhu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 356 | 2020 |
| Deep learning for instance retrieval: A survey W Chen, Y Liu, W Wang, EM Bakker, T Georgiou, P Fieguth, L Liu, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 354 | 2022 |
| 图像纹理特征提取方法综述 刘丽*， 匡纲要 中国图像图形学报 14 (4), 622-635, 2009 | 344* | 2009 |
| Uncertainty Quantification in Skin Cancer Classification using Three-Way Decision-based Bayesian Deep Learning M Abdar, M Samami, SD Mahmoodabad, T Doan, B Mazoure, ... Computers in Biology and Medicine, 1-12, 2021 | 259 | 2021 |
| BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification L Liu*, Y Long, P Fieguth, S Lao, G Zhao IEEE Transactions on Image Processing 23 (7), 3071-3084, 2014 | 239 | 2014 |
| Deep Video Superresolution using HR Optical Flow Estimation L Wang, Y Guo, L Liu, Z Lin, X Deng, W An IEEE Transactions on Image Processing, 2020 | 201 | 2020 |
| Highly efficient Incomplete Large scale Multiview Clustering with Consensus Bipartite Graph S Wang, X Liu, L Liu, W Tu, X Zhu, J Liu, S Zhou, E Zhu International Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 187 | 2022 |
| Overview of image textural feature extraction methods L Liu, GY Kuang Journal of Image and Graphics 14 (4), 622-635, 2009 | 176 | 2009 |
Matti PietikäinenProfessor, University of OuluVerified email at oulu.fi
