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Ruru Pan
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- affiliation: Jiangnan University, Wuxi, China
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2020 – today
- 2024
- [j21]Jun Xiang, Ning Zhang
, Ruru Pan:
Cross-modal fabric image-text retrieval based on convolutional neural network and TinyBERT. Multim. Tools Appl. 83(21): 59725-59746 (2024) - [j20]Wentao He, Bingpeng Song, Ning Zhang, Jun Xiang, Ruru Pan:
Toward accurate and realistic garment texture transfer with attention to details. Neural Comput. Appl. 36(21): 12991-13007 (2024) - [j19]Ning Zhang, Yixin Liu, Zhongjian Li, Jun Xiang, Ruru Pan:
Fabric image retrieval based on multi-modal feature fusion. Signal Image Video Process. 18(3): 2207-2217 (2024) - [j18]Wentao He, Bingpeng Song, Ning Zhang, Jun Xiang, Ruru Pan:
Modeling and realization of image-based garment texture transfer. Vis. Comput. 40(9): 6063-6079 (2024) - 2023
- [j17]Xiaohu Wang, Benchao Yan, Ruru Pan, Jian Zhou:
Real-time textile fabric flaw inspection system using grouped sparse dictionary. J. Real Time Image Process. 20(4): 67 (2023) - [j16]Wentao He
A semantic segmentation algorithm for fashion images based on modified mask RCNN. Multim. Tools Appl. 82(18): 28427-28444 (2023) - [j15]Wentao He, Ning Zhang, Bingpeng Song, Ruru Pan:
Garment reconstruction from a single-view image based on pixel-aligned implicit function. Multim. Tools Appl. 82(19): 30247-30265 (2023) - 2022
- [j14]Shuo Meng
Automatic recognition of woven fabric structural parameters: a review. Artif. Intell. Rev. 55(8): 6345-6387 (2022) - [j13]Jun Xiang
An Efficient Retrieval System Framework for Fabrics Based on Fine-Grained Similarity. Entropy 24(9): 1319 (2022) - [j12]Ning Zhang, Renzo Shamey
A novel image retrieval strategy based on transfer learning and hand-crafted features for wool fabric. Expert Syst. Appl. 191: 116229 (2022) - [j11]Jun Xiang
Online Detection of Fabric Defects Based on Improved CenterNet with Deformable Convolution. Sensors 22(13): 4718 (2022) - 2021
- [j10]Jun Xiang
Efficient fine-texture image retrieval using deep multi-view hashing. Comput. Graph. 101: 93-105 (2021) - [j9]Shuo Meng
A multi-task and multi-scale convolutional neural network for automatic recognition of woven fabric pattern. J. Intell. Manuf. 32(4): 1147-1161 (2021) - [j8]Jun Xiang
Fabric Retrieval Based on Multi-Task Learning. IEEE Trans. Image Process. 30: 1570-1582 (2021) - 2020
- [j7]Jingan Wang
Automatic Assessment of Fabric Smoothness Appearance Based on a Compact Convolutional Neural Network With Label Smoothing. IEEE Access 8: 26966-26974 (2020) - [j6]Jun Xiang
Clothing Attribute Recognition Based on RCNN Framework Using L-Softmax Loss. IEEE Access 8: 48299-48313 (2020) - [j5]Jingan Wang
Fusing Convolutional Neural Network Features With Hand-Crafted Features for Objective Fabric Smoothness Appearance Assessment. IEEE Access 8: 110678-110692 (2020)
2010 – 2019
- 2019
- [j4]Jun Xiang
Fabric Image Retrieval System Using Hierarchical Search Based on Deep Convolutional Neural Network. IEEE Access 7: 35405-35417 (2019) - [j3]Jingan Wang
An Objective Fabric Smoothness Assessment Method Based on a Multi-Scale Spatial Masking Model. IEEE Access 7: 73830-73840 (2019) - [j2]Shuo Meng
Woven Fabric Density Measurement by Using Multi-Scale Convolutional Neural Networks. IEEE Access 7: 75810-75821 (2019) - [j1]Jingan Wang
Decoloration of Multi-Color Fabric Images for Fabric Appearance Smoothness Evaluation by Supervised Image-to-Image Translation. IEEE Access 7: 181284-181294 (2019)
Coauthor Index
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