| Two-stream adaptive graph convolutional networks for skeleton-based action recognition L Shi, Y Zhang, J Cheng, H Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 2039 | 2019 |
| Quantized convolutional neural networks for mobile devices J Wu, C Leng, Y Wang, Q Hu, J Cheng Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1565 | 2016 |
| Skeleton-based action recognition with directed graph neural networks L Shi, Y Zhang, J Cheng, H Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1022 | 2019 |
| Skeleton-based action recognition with shift graph convolutional network K Cheng, Y Zhang, X He, W Chen, J Cheng, H Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 959 | 2020 |
| You only look one-level feature Q Chen, Y Wang, T Yang, X Zhang, J Cheng, J Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 793 | 2021 |
| Skeleton-based action recognition with multi-stream adaptive graph convolutional networks L Shi, Y Zhang, J Cheng, H Lu IEEE Transactions on Image Processing 29, 9532-9545, 2020 | 586 | 2020 |
| RGB-infrared cross-modality person re-identification via joint pixel and feature alignment G Wang, T Zhang, J Cheng, S Liu, Y Yang, Z Hou Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 542 | 2019 |
| Decoupling gcn with dropgraph module for skeleton-based action recognition K Cheng, Y Zhang, C Cao, L Shi, J Cheng, H Lu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 388 | 2020 |
| Cross-modality paired-images generation for RGB-infrared person re-identification GA Wang, T Zhang, Y Yang, J Cheng, J Chang, X Liang, ZG Hou Proceedings of the AAAI conference on artificial intelligence 34 (07), 12144 …, 2020 | 369 | 2020 |
| Egogesture: a new dataset and benchmark for egocentric hand gesture recognition Y Zhang, C Cao, J Cheng, H Lu IEEE Transactions on Multimedia 20 (5), 1038-1050, 2018 | 369 | 2018 |
| A real-time hand gesture recognition method Y Fang, K Wang, J Cheng, H Lu 2007 IEEE International Conference on Multimedia and Expo, 995-998, 2007 | 339 | 2007 |
| Recent advances in efficient computation of deep convolutional neural networks J Cheng, P Wang, G Li, Q Hu, H Lu Frontiers of Information Technology & Electronic Engineering 19, 64-77, 2018 | 303 | 2018 |
| Ode-inspired network design for single image super-resolution X He, Z Mo, P Wang, Y Liu, M Yang, J Cheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 289 | 2019 |
| Decoupled spatial-temporal attention network for skeleton-based action-gesture recognition L Shi, Y Zhang, J Cheng, H Lu Proceedings of the Asian conference on computer vision, 2020 | 272 | 2020 |
| Fast and accurate image matching with cascade hashing for 3d reconstruction J Cheng, C Leng, J Wu, H Cui, H Lu Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 206 | 2014 |
| Visdrone-det2018: The vision meets drone object detection in image challenge results P Zhu, L Wen, D Du, X Bian, H Ling, Q Hu, Q Nie, H Cheng, C Liu, X Liu, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 169 | 2018 |
| Two-step quantization for low-bit neural networks P Wang, Q Hu, Y Zhang, C Zhang, Y Liu, J Cheng Proceedings of the IEEE Conference on computer vision and pattern …, 2018 | 166 | 2018 |
| Dimensionality reduction by mixed kernel canonical correlation analysis X Zhu, Z Huang, HT Shen, J Cheng, C Xu Pattern Recognition 45 (8), 3003-3016, 2012 | 163 | 2012 |
| Towards accurate post-training network quantization via bit-split and stitching P Wang, Q Chen, X He, J Cheng International Conference on Machine Learning, 9847-9856, 2020 | 155 | 2020 |
| Mixformer: Mixing features across windows and dimensions Q Chen, Q Wu, J Wang, Q Hu, T Hu, E Ding, J Cheng, J Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 149 | 2022 |
Yifan Zhang (张一帆)Institute of Automation, Chinese Academy of Sciences在 nlpr.ia.ac.cn 的电子邮件经过验证
