| 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 | 255728 | 2016 |
| Faster r-cnn: Towards real-time object detection with region proposal networks S Ren arXiv preprint arXiv:1506.01497, 2015 | 84890 | 2015 |
| Delving deep into rectifiers: Surpassing human-level performance on imagenet classification K He, X Zhang, S Ren, J Sun Proceedings of the IEEE international conference on computer vision, 1026-1034, 2015 | 26419 | 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 | 17084 | 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 | 13407 | 2016 |
| Single image haze removal using dark channel prior K He, J Sun, X Tang IEEE transactions on pattern analysis and machine intelligence 33 (12), 2341 …, 2010 | 10003 | 2010 |
| Shufflenet: An extremely efficient convolutional neural network for mobile devices X Zhang, X Zhou, M Lin, J Sun Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 9625 | 2018 |
| Guided image filtering K He, J Sun, X Tang IEEE transactions on pattern analysis and machine intelligence 35 (6), 1397-1409, 2012 | 8572* | 2012 |
| R-fcn: Object detection via region-based fully convolutional networks J Dai, Y Li, K He, J Sun Advances in neural information processing systems 29, 2016 | 8019 | 2016 |
| Shufflenet v2: Practical guidelines for efficient cnn architecture design N Ma, X Zhang, HT Zheng, J Sun Proceedings of the European conference on computer vision (ECCV), 116-131, 2018 | 7045 | 2018 |
| Yolox: Exceeding yolo series in 2021 Z Ge arXiv preprint arXiv:2107.08430, 2021 | 5806 | 2021 |
| Proceedings of the IEEE conference on computer vision and pattern recognition K He, X Zhang, S Ren, J Sun | 4705 | 2016 |
| Learning to detect a salient object T Liu, J Sun, NN Zheng, X Tang, HY Shum Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, 1-8, 2007 | 3284 | 2007 |
| Channel pruning for accelerating very deep neural networks Y He, X Zhang, J Sun Proceedings of the IEEE international conference on computer vision, 1389-1397, 2017 | 3243 | 2017 |
| Convolutional neural networks at constrained time cost K He, J Sun Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 3160 | 2015 |
| Faster r-cnn: Towards real-time object detection with region proposal networks R Shaoqing, H Kaiming, S Jian Advances in neural information processing systems 28 (2015), 91-99, 2015 | 2450 | 2015 |
| Repvgg: Making vgg-style convnets great again X Ding, X Zhang, N Ma, J Han, G Ding, J Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 2253 | 2021 |
| Unified perceptual parsing for scene understanding T Xiao, Y Liu, B Zhou, Y Jiang, J Sun Proceedings of the European conference on computer vision (ECCV), 418-434, 2018 | 2145 | 2018 |
| Large kernel matters--improve semantic segmentation by global convolutional network C Peng, X Zhang, G Yu, G Luo, J Sun Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1983 | 2017 |
| Cascaded pyramid network for multi-person pose estimation Y Chen, Z Wang, Y Peng, Z Zhang, G Yu, J Sun Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1978 | 2018 |
Kaiming HeAssociate Professor, EECS, MITVerified email at mit.edu
