| 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 | 249172 | 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 | 83058 | 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 | 25743 | 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 | 16670 | 2015 |
| Identity mappings in deep residual networks K He, X Zhang, S Ren, J Sun Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 13003 | 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 | 1232 | 2014 |
| Deep residual learning for image recognition (2015) K He, X Zhang, S Ren, J Sun arXiv preprint arXiv:1512.03385 730, 2020 | 821 | 2020 |
| Deep residual learning for image recognition. arXiv 2015 K He, X Zhang, S Ren, J Sun arXiv preprint arXiv:1512.03385, 2022 | 798 | 2022 |
| 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 | 549 | 2016 |
| Instance-sensitive fully convolutional networks J Dai, K He, Y Li, S Ren, J Sun Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 537 | 2016 |
| Joint cascade face detection and alignment D Chen, S Ren, Y Wei, X Cao, J Sun Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 536 | 2014 |
| Delving deep into rectifiers: Surpassing human-level performance on imagenet classification H Kaiming, Z Xiangyu, R Shaoqing, S Jian Proceedings of the IEEE international conference on computer vision 1026, 1034, 2015 | 532 | 2015 |
| Deep residual learning for image recognition. arXiv e-prints K He, X Zhang, S Ren, J Sun arXiv preprint arXiv:1512.03385 10, 2015 | 413 | 2015 |
| Deep Residual Learning for Image Recognition. IEEE H Kaiming, Z Xiangyu, R Shaoqing, S Jian 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las …, 2016 | 260 | 2016 |
| S. Ren i J. Sun,„Deep residual learning for image recognition,” K He, X Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 222 | 2016 |
| 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 | 160 | 2015 |
| Deep Residual Learning for Image Recognition. 2015. doi: 10.48550 K He, X Zhang, S Ren, J Sun arXiv preprint ARXIV.1512.03385, 2015 | 105 | 2015 |
| Zhang X Ren S, et al K He Deep residual learning for image recognition: Proceedings of the IEEE …, 2016 | 98 | 2016 |
| Deep Residual Learning for Image Recognition2015 December 01 K He, X Zhang, S Ren, J Sun arXiv preprint arXiv:1512.03385, 2015 | 92 | 2015 |
| Towards real-time object detection with region proposal networks, Adv S Ren, K He, R Girshick, J Sun, R Faster Neural Inf. Process 28, 2015 | 84 | 2015 |
Jian SunChief Scientist of Megvii, Managing Director of Megvii ResearchEmail verificata su megvii.com