| Deep residual learning for image recognition K He, X Zhang, S Ren, J Sun Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 125601 | 2016 |
| Faster r-cnn: Towards real-time object detection with region proposal networks S Ren, K He, R Girshick, J Sun Conference on Neural Information Processing Systems (NIPS 2015), 2015 | 44639 | 2015 |
| Delving deep into rectifiers: Surpassing human-level performance on imagenet classification K He, X Zhang, S Ren, J Sun IEEE International Conference on Computer Vision (ICCV 2015), 2015 | 16093 | 2015 |
| Spatial pyramid pooling in deep convolutional networks for visual recognition K He, X Zhang, S Ren, J Sun IEEE transactions on pattern analysis and machine intelligence 37 (9), 1904-1916, 2015 | 8672 | 2015 |
| Identity mappings in deep residual networks K He, X Zhang, S Ren, J Sun European conference on computer vision, 630-645, 2016 | 8006 | 2016 |
| Face Alignment at 3000 FPS via Regressing Local Binary Features S Ren, X Cao, Y Wei, J Sun IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), 2014 | 1095 | 2014 |
| European conference on computer vision K He, X Zhang, S Ren, J Sun Springer, 2016 | 525 | 2016 |
| Joint cascade face detection and alignment D Chen, S Ren, Y Wei, X Cao, J Sun European conference on computer vision, 109-122, 2014 | 471 | 2014 |
| Instance-sensitive fully convolutional networks J Dai, K He, Y Li, S Ren, J Sun European conference on computer vision, 534-549, 2016 | 413 | 2016 |
| Object detection networks on convolutional feature maps S Ren, K He, R Girshick, X Zhang, J Sun IEEE transactions on pattern analysis and machine intelligence 39 (7), 1476-1481, 2016 | 405 | 2016 |
| Delving deep into rectifiers: Surpassing humanlevel performance on imagenet classification (2015) K He, X Zhang, S Ren, J Sun arXiv preprint arXiv:1502.01852 10, 1852 | 138 | 1852 |
| Global refinement of random forest S Ren, X Cao, Y Wei, J Sun IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), 723-730, 2015 | 118 | 2015 |
| Deep residual learningfor image recognition K He, X Zhang, S Ren, J Sun ComputerScience, 2015 | 58 | 2015 |
| Computer Vision–ECCV 2016 K He, X Zhang, S Ren, J Sun, B Leibe, J Matas, N Sebe, M Welling Springer International Publishing, Cham, 2016 | 57 | 2016 |
| Deep residual learning for image recognition In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 770–778 K He, X Zhang, S Ren, J Sun Piscataway, NJ: IEEE.[Google Scholar], 2016 | 56 | 2016 |
| 9Faster RYCNN: Toward realYtime object detection with region proposal networ s, 9 in S Ren, K He, R Girshic, J Sum NIPS, 2015 | 31 | 2015 |
| Jian du S He Dunhuang wen yi chu ban she, 2004 | 21 | 2004 |
| Deep residual learning for image recognition. CVPR. 2016 K He, X Zhang, S Ren, J Sun arXiv preprint arXiv:1512.03385, 2016 | 11 | 2016 |
| Faster r-cnn: Towards real-time 553 object detection with region proposal networks S Ren, K He, R Girshick, J Sun Cortes, C., Lawrence 554, 91-99, 0 | 2 | |
| Year. Faster r-cnn: Towards real-time object detection with region proposal networks S Ren, K He, R Girshick, J Sun Proceedings of the Advances in neural information processing systems, 91-99, 0 | 2 | |
Jian SunChief Scientist of Megvii, Managing Director of Megvii Research在 megvii.com 的电子邮件经过验证
