| Learning label correlations for multi-label image recognition with graph networks Q Li, X Peng, Y Qiao, Q Peng Pattern Recognition Letters 138, 378-384, 2020 | 33 | 2020 |
| Suppressing mislabeled data via grouping and self-attention X Peng, K Wang, Z Zeng, Q Li, J Yang, Y Qiao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 31 | 2020 |
| CSIFT based locality-constrained linear coding for image classification J Chen, Q Li, Q Peng, KH Wong Pattern Analysis and Applications 18 (2), 441-450, 2015 | 31 | 2015 |
| Unsupervised person re-identification with multi-label learning guided self-paced clustering Q Li, X Peng, Y Qiao, Q Hao Pattern Recognition 125, 108521, 2022 | 27 | 2022 |
| Multiple VLAD encoding of CNNs for image classification Q Li, Q Peng, C Yan Computing in Science & Engineering 20 (2), 52-63, 2018 | 26 | 2018 |
| Learning category correlations for multi-label image recognition with graph networks Q Li, X Peng, Y Qiao, Q Peng arXiv preprint arXiv:1909.13005, 2019 | 24 | 2019 |
| Improving image classification accuracy with ELM and CSIFT Q Li, Q Peng, J Chen, C Yan Computing in Science & Engineering 21 (5), 26-34, 2018 | 23 | 2018 |
| Product image recognition with guidance learning and noisy supervision Q Li, X Peng, L Cao, W Du, H Xing, Y Qiao, Q Peng Computer Vision and Image Understanding 196, 102963, 2020 | 20 | 2020 |
| IPDAE: Improved patch-based deep autoencoder for lossy point cloud geometry compression K You, P Gao, Q Li Proceedings of the 1st International Workshop on Advances in Point Cloud …, 2022 | 11 | 2022 |
| Application of localized soft-assignment coding and CSIFT in image classification Q Li, J Chen, Q Peng, X Wu Proceedings of International Conference on Internet Multimedia Computing and …, 2014 | 6 | 2014 |
| Self-ensemling for 3d point cloud domain adaption Q Li, X Peng, C Yan, P Gao, Q Hao arXiv preprint arXiv:2112.05301, 2021 | 1 | 2021 |
Xiaojiang PengShenzhen Technology UniversityVerified email at sztu.edu.cn
