no code implementations • 15 Mar 2024 • Qin Xu, Sitong Li, Jiahui Wang, Bo Jiang, Jinhui Tang
To tackle this challenge, we propose a weakly supervised Context-Semantic Quality Awareness Network (CSQA-Net) for FGVC.
Ranked #4 on Fine-Grained Image Classification on NABirds
Fine-Grained Image Classification Fine-Grained Visual Categorization
no code implementations • 28 Nov 2023 • Jiahui Wang, Qin Xu, Bo Jiang, Bin Luo
Label propagation methods try to propagate the labels of support samples on the constructed graph encoding the relationships between both support and query samples.
1 code implementation • IEEE Transactions on Multimedia 2023 • Qin Xu, Jiahui Wang, Bo Jiang, Bin Luo
The proposed IELT involves three main modules: multi-head voting (MHV) module, cross-layer refinement (CLR) module, and dynamic selection (DS) module.
1 code implementation • ECCV 2020 • Yuzhi Wang, Haibin Huang, Qin Xu, Jiaming Liu, Yiqun Liu, Jue Wang
Deep learning-based image denoising approaches have been extensively studied in recent years, prevailing in many public benchmark datasets.
no code implementations • 14 Jul 2020 • Katrina Smith-Mannschott, Qin Xu, Stefanie Heyden, Nicolas Bain, Eric R. Dufresne, Robert W. Style
Anisotropically wetting substrates enable useful control of droplet behavior across a range of applications.
Soft Condensed Matter Fluid Dynamics
no code implementations • 17 Sep 2019 • Xinlin Zhang, Hengfa Lu, Di Guo, Lijun Bao, Feng Huang, Qin Xu, Xiaobo Qu
The pFISTA, a simple and efficient algorithm for sparse reconstruction, has been successfully extended to parallel imaging.
1 code implementation • 29 Apr 2019 • Jiaming Liu, Chi-Hao Wu, Yuzhi Wang, Qin Xu, Yuqian Zhou, Haibin Huang, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang
In this paper, we present new data pre-processing and augmentation techniques for DNN-based raw image denoising.
1 code implementation • CVPR 2019 • Yifan Sun, Qin Xu, Ya-Li Li, Chi Zhang, Yikang Li, Shengjin Wang, Jian Sun
The visibility awareness allows VPM to extract region-level features and compare two images with focus on their shared regions (which are visible on both images).
Ranked #14 on Person Re-Identification on Market-1501-C