| 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 | 183640 | 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 | 65236 | 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 | 22015 | 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 | 13529 | 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 | 10574 | 2016 |
| Deep residual learning for image recognition S Jian, H Kaiming, R Shaoqing, Z Xiangyu IEEE Conference on Computer Vision & Pattern Recognition, 770-778, 2016 | 5181 | 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 | 1179 | 2014 |
| 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 | 518 | 2014 |
| 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 | 490 | 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 | 481 | 2016 |
| Identity mappings in deep residual networks H Kaiming, Z Xiangyu, R Shaoqing, S Jian European conference on computer vision, 630-645, 2016 | 234 | 2016 |
| Deep residual learning for image recognition. arXiv e-prints K He, X Zhang, S Ren, J Sun arXiv preprint arXiv:1512.03385 10, 2015 | 151 | 2015 |
| 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 | 143 | 2015 |
| Jian du S He Dunhuang wen yi chu ban she, 2004 | 133 | 2004 |
| 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 IEEE. https://doi. org/10.1109/cvpr, 2016 | 96 | 2016 |
| Computer Vision–ECCV 2016 K He, X Zhang, S Ren, J Sun, B Leibe, J Matas, N Sebe, M Welling European conference on computer vision, 645, 2016 | 95 | 2016 |
| Deep residual learning for image recognition. CoRR (2015) K He, X Zhang, S Ren, J Sun arXiv preprint arXiv:1512.03385, 2016 | 74 | 2016 |
| Deep residual learning for image recognition. 2016 IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV K He, X Zhang, S Ren, J Sun IEEE, 2016 | 62 | 2016 |
| Deep Residual Learning for Image Recognition. 2015. doi: 10.48550 K He, X Zhang, S Ren, J Sun arXiv preprint ARXIV.1512.03385, 0 | 59 | |
| Jjitopa Sun 2017 Intelligence M S Ren, K He, R Girshick Faster r-cnn: Towards real-time object detection with region proposal …, 0 | 58 | |
Jian SunChief Scientist of Megvii, Managing Director of Megvii ResearchVerified email at megvii.com
