| Focusing attention: Towards accurate text recognition in natural images Z Cheng, F Bai, Y Xu, G Zheng, S Pu, S Zhou Proceedings of the IEEE international conference on computer vision, 5076-5084, 2017 | 501 | 2017 |
| Co-occurrence feature learning from skeleton data for action recognition and detection with hierarchical aggregation C Li, Q Zhong, D Xie, S Pu arXiv preprint arXiv:1804.06055, 2018 | 493 | 2018 |
| Skeleton-based action recognition with convolutional neural networks C Li, Q Zhong, D Xie, S Pu 2017 IEEE international conference on multimedia & expo workshops (ICMEW …, 2017 | 391 | 2017 |
| Aon: Towards arbitrarily-oriented text recognition Z Cheng, Y Xu, F Bai, Y Niu, S Pu, S Zhou Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 298 | 2018 |
| Counterfactual samples synthesizing for robust visual question answering L Chen, X Yan, J Xiao, H Zhang, S Pu, Y Zhuang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 278 | 2020 |
| All you need is beyond a good init: Exploring better solution for training extremely deep convolutional neural networks with orthonormality and modulation D Xie, J Xiong, S Pu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 182 | 2017 |
| Content-aware convolutional neural network for in-loop filtering in high efficiency video coding C Jia, S Wang, X Zhang, S Wang, J Liu, S Pu, S Ma IEEE Transactions on Image Processing 28 (7), 3343-3356, 2019 | 174 | 2019 |
| Rpvnet: A deep and efficient range-point-voxel fusion network for lidar point cloud segmentation J Xu, R Zhang, J Dou, Y Zhu, J Sun, S Pu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 172 | 2021 |
| Dynamic gcn: Context-enriched topology learning for skeleton-based action recognition F Ye, S Pu, Q Zhong, C Li, D Xie, H Tang Proceedings of the 28th ACM international conference on multimedia, 55-63, 2020 | 172 | 2020 |
| Advancing image understanding in poor visibility environments: A collective benchmark study W Yang, Y Yuan, W Ren, J Liu, WJ Scheirer, Z Wang, T Zhang, Q Zhong, ... IEEE Transactions on Image Processing 29, 5737-5752, 2020 | 169 | 2020 |
| Counterfactual critic multi-agent training for scene graph generation L Chen, H Zhang, J Xiao, X He, S Pu, SF Chang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 165 | 2019 |
| Small-scale pedestrian detection based on topological line localization and temporal feature aggregation T Song, L Sun, D Xie, H Sun, S Pu Proceedings of the European Conference on Computer Vision (ECCV), 536-551, 2018 | 156 | 2018 |
| Edit probability for scene text recognition F Bai, Z Cheng, Y Niu, S Pu, S Zhou proceedings of the IEEE conference on computer vision and pattern …, 2018 | 143 | 2018 |
| Learning open set network with discriminative reciprocal points G Chen, L Qiao, Y Shi, P Peng, J Li, T Huang, S Pu, Y Tian Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 138 | 2020 |
| Collaborative spatiotemporal feature learning for video action recognition C Li, Q Zhong, D Xie, S Pu Proceedings of the ieee/cvf conference on computer vision and pattern …, 2019 | 116 | 2019 |
| A free lunch for unsupervised domain adaptive object detection without source data X Li, W Chen, D Xie, S Yang, P Yuan, S Pu, Y Zhuang Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8474-8481, 2021 | 98 | 2021 |
| All you need is a few shifts: Designing efficient convolutional neural networks for image classification W Chen, D Xie, Y Zhang, S Pu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 97 | 2019 |
| Divide-and-assemble: Learning block-wise memory for unsupervised anomaly detection J Hou, Y Zhang, Q Zhong, D Xie, S Pu, H Zhou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 94 | 2021 |
| Particle field characterization by digital in-line holography: 3D location and sizing SL Pu, D Allano, B Patte-Rouland, M Malek, D Lebrun, KF Cen Experiments in Fluids 39, 1-9, 2005 | 93 | 2005 |
| Forward compatible few-shot class-incremental learning DW Zhou, FY Wang, HJ Ye, L Ma, S Pu, DC Zhan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 92 | 2022 |
Di XieHikvision Research InstituteZweryfikowany adres z hikvision.com
