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 | 3053 | 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 | 1935 | 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 | 1872 | 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 | 511 | 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 | 511 | 2015 |
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 | 432 | 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 | 411 | 2012 |
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 | 408* | 2019 |
Texture classification from random features L Liu*, PW Fieguth Pattern Analysis and Machine Intelligence, IEEE Transactions on 34 (3), 574-586, 2012 | 388 | 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 | 364 | 2009 |
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 | 359 | 2020 |
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 | 333* | 2009 |
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 | 275 | 2021 |
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 | 238 | 2020 |
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 | 228 | 2014 |
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 | 176 | 2021 |
Overview of image textural feature extraction methods L Liu, GY Kuang Journal of Image and Graphics 14 (4), 622-635, 2009 | 175 | 2009 |
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 | 166 | 2020 |
Extended local binary patterns for face recognition L Liu*, P Fieguth, G Zhao, M Pietikainen, D Hu Information Sciences 358, 56–72, 2016 | 162 | 2016 |
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 | 137 | 2022 |