| Multi-label image recognition with graph convolutional networks ZM Chen, XS Wei, P Wang, Y Guo IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5177-5186, 2019 | 1230 | 2019 |
| BBN: Bilateral-branch network with cumulative learning for long-tailed visual recognition B Zhou, Q Cui, XS Wei, ZM Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 891 | 2020 |
| Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization XS Wei, CW Xie, J Wu, C Shen Pattern Recognition (PR) 76, 704-714, 2018 | 490* | 2018 |
| Selective convolutional descriptor aggregation for fine-grained image retrieval XS Wei, JH Luo, J Wu, ZH Zhou IEEE Transactions on Image Processing (TIP) 26 (6), 2868-2881, 2017 | 490 | 2017 |
| Adversarial PoseNet: A structure-aware convolutional network for human pose estimation Y Chen, C Shen, XS Wei, L Liu, J Yang IEEE International Conference on Computer Vision (ICCV), 1212-1221, 2017 | 437 | 2017 |
| Fine-grained image analysis with deep learning: A survey XS Wei, YZ Song, O Mac Aodha, J Wu, Y Peng, J Tang, J Yang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 44 …, 2021 | 387* | 2021 |
| Exploring categorical regularization for domain adaptive object detection CD Xu, XR Zhao, X Jin, XS Wei Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 333 | 2020 |
| Contrastive learning based hybrid networks for long-tailed image classification P Wang, K Han, XS Wei, L Zhang, L Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 281 | 2021 |
| Weakly supervised fine-grained categorization with part-based image representation Y Zhang, XS Wei, J Wu, J Cai, J Lu, VA Nguyen, MN Do IEEE Transactions on Image Processing (TIP) 25 (4), 1713-1725, 2016 | 234* | 2016 |
| RPC: A large-scale and fine-grained retail product checkout dataset XS Wei, Q Cui, L Yang, P Wang, L Liu, J Yang Science China Information Sciences 65 (9), 197101, 2022 | 182* | 2022 |
| Deep bimodal regression of apparent personality traits from short video sequences XS Wei, CL Zhang, H Zhang, J Wu IEEE Transactions on Affective Computing (TAC) 9 (3), 303-315, 2018 | 178* | 2018 |
| Scalable algorithms for multi-instance learning XS Wei, J Wu, ZH Zhou IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 28 (4 …, 2016 | 149 | 2016 |
| Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples XS Wei, P Wang, L Liu, C Shen, J Wu IEEE Transactions on Image Processing (TIP) 28 (12), 6116-6125, 2019 | 139 | 2019 |
| Bag of tricks for long-tailed visual recognition with deep convolutional neural networks Y Zhang, XS Wei, B Zhou, J Wu Proceedings of the AAAI conference on artificial intelligence 35 (4), 3447-3455, 2021 | 132 | 2021 |
| Deep label distribution learning for apparent age estimation X Yang, BB Gao, C Xing, ZW Huo, XS Wei, Y Zhou, J Wu, X Geng IEEE International Conference on Computer Vision (CVPR) Workshop, 102-108, 2015 | 126 | 2015 |
| Unsupervised object discovery and co-localization by deep descriptor transforming XS Wei, CL Zhang, J Wu, C Shen, ZH Zhou Pattern Recognition (PR) 88, 113-126, 2019 | 123 | 2019 |
| In Defense of Fully Connected Layers in Visual Representation Transfer CL Zhang, JH Luo, XS Wei, J Wu Pacific Rim Conference on Multimedia (PCM), 807-817, 2017 | 108 | 2017 |
| Distilling virtual examples for long-tailed recognition YY He, J Wu, XS Wei Proceedings of the IEEE/CVF international conference on computer vision, 235-244, 2021 | 105 | 2021 |
| Scalable multi-instance learning XS Wei, J Wu, ZH Zhou IEEE International Conference on Data Mining (ICDM), 1037-1042, 2014 | 91 | 2014 |
| Delving deep into spatial pooling for squeeze-and-excitation networks X Jin, Y Xie, XS Wei, BR Zhao, ZM Chen, X Tan Pattern Recognition 121, 108159, 2022 | 82 | 2022 |
Jianxin Wu (吴建鑫)Nanjing UniversityVerified email at nju.edu.cn
