Fabric defect detection based on a deep convolutional neural network using a two-stage strategy X Jun, J Wang, J Zhou, S Meng, R Pan, W Gao Textile Research Journal 91 (1-2), 130-142, 2021 | 102 | 2021 |
Fabric image retrieval system using hierarchical search based on deep convolutional neural network J Xiang, N Zhang, R Pan, W Gao Ieee Access 7, 35405-35417, 2019 | 55 | 2019 |
Clothing attribute recognition based on RCNN framework using L-Softmax loss J Xiang, T Dong, R Pan, W Gao Ieee Access 8, 48299-48313, 2020 | 44 | 2020 |
Fabric retrieval based on multi-task learning J Xiang, N Zhang, R Pan, W Gao IEEE Transactions on Image Processing 30, 1570-1582, 2020 | 28 | 2020 |
Image retrieval of wool fabric. Part II: based on low-level color features N Zhang, J Xiang, L Wang, N Xiong, W Gao, R Pan Textile Research Journal 90 (7-8), 797-808, 2020 | 24 | 2020 |
Image retrieval of wool fabric. Part I: Based on low-level texture features N Zhang, J Xiang, L Wang, W Gao, R Pan Textile Research Journal 89 (19-20), 4195-4207, 2019 | 24 | 2019 |
Weave pattern recognition by measuring fiber orientation with Fourier transform J Zhang, R Pan, W Gao, J Xiang The Journal of the Textile institute 108 (4), 622-630, 2017 | 13 | 2017 |
Yarn-dyed fabric image retrieval using colour moments and the perceptual hash algorithm Z Li, J Xiang, L Wang, N Zhang, R Pan, W Gao Fibres & Textiles in Eastern Europe, 39-46, 2019 | 9 | 2019 |
Measuring the geometrical parameters of slub yarn using a computer vision based image sequencing technique Z Li, J Xiang, L Wang, N Zhang, J Wang, R Pan, W Gao Fibres & Textiles in Eastern Europe 27 (3 (135)), 2019 | 3 | 2019 |
Automatic seam pucker evaluation using support vector machine classifiers N Zhang, R Pan, L Wang, S Wang, J Xiang, W Gao International Journal of Clothing Science and Technology 31 (1), 2-15, 2019 | 1 | 2019 |