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 | 159736 | 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 | 56326 | 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 | 19687 | 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 | 11592 | 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 | 9595 | 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 | 1154 | 2014 |
European conference on computer vision K He, X Zhang, S Ren, J Sun Identity Mappings in Deep Residual Networks [C], 2016 | 798 | 2016 |
Deep residual learning for image recognition. arXiv 2015 K He, X Zhang, S Ren, J Sun arXiv preprint arXiv:1512.03385 14, 2015 | 687 | 2015 |
2016 IEEE conference on computer vision and pattern recognition (CVPR) K He, X Zhang, S Ren, J Sun Las Vegas, NV, USA 1, 770-78, 2016 | 679* | 2016 |
Deep residual learning for image recognition (2015) K He, X Zhang, S Ren, J Sun arXiv preprint arXiv:1512.03385 730, 2020 | 642 | 2020 |
Deep residual learning for image recognition H Kaiming, Z Xiangyu, R Shaoqing, S Jian 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 1, 770, 2016 | 582 | 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 | 488 | 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 | 463 | 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 | 447 | 2016 |
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 | 364 | 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 | 133 | 2015 |
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 | 80 | 2016 |
Deep residual learningfor image recognition K He, X Zhang, S Ren, J Sun CoRR, abs/1512 3385, 2, 2015 | 80 | 2015 |
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 | 56 | 2016 |
Advances in neural information processing systems (NIPS) S Ren, K He, R Girshick, J Sun | 36 | 2015 |