| 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 | 158664 | 2016 |
| 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 | 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 | 11582 | 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 | 9611 | 2016 |
| 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 | 5666 | 2018 |
| 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 | 3497 | 2018 |
| 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 | 2293 | 2017 |
| 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 | 1392 | 2017 |
| Accelerating very deep convolutional networks for classification and detection X Zhang, J Zou, K He, J Sun IEEE transactions on pattern analysis and machine intelligence 38 (10), 1943 …, 2015 | 843 | 2015 |
| Single path one-shot neural architecture search with uniform sampling Z Guo*, X Zhang*, H Mu, W Heng, Z Liu, Y Wei, J Sun European Conference on Computer Vision, 544-560, 2020 | 688 | 2020 |
| 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 | 526 | 2021 |
| Bounding box regression with uncertainty for accurate object detection Y He, C Zhu, J Wang, M Savvides, X Zhang Proceedings of the ieee/cvf conference on computer vision and pattern …, 2019 | 467* | 2019 |
| Detnet: A backbone network for object detection Z Li, C Peng, G Yu, X Zhang, Y Deng, J Sun Proceedings of the European Conference on Computer Vision (ECCV), 334-350, 2018 | 453* | 2018 |
| 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 |
| Exfuse: Enhancing feature fusion for semantic segmentation Z Zhang, X Zhang, C Peng, X Xue, J Sun Proceedings of the European conference on computer vision (ECCV), 269-284, 2018 | 444 | 2018 |
| Metapruning: Meta learning for automatic neural network channel pruning Z Liu, H Mu, X Zhang, Z Guo, X Yang, KT Cheng, J Sun Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 423* | 2019 |
| Crowdhuman: A benchmark for detecting human in a crowd S Shao, Z Zhao, B Li, T Xiao, G Yu, X Zhang, J Sun arXiv preprint arXiv:1805.00123, 2018 | 416 | 2018 |
| Light-head r-cnn: In defense of two-stage object detector Z Li, C Peng, G Yu, X Zhang, Y Deng, J Sun arXiv preprint arXiv:1711.07264, 2017 | 344 | 2017 |
| Megdet: A large mini-batch object detector C Peng, T Xiao, Z Li, Y Jiang, X Zhang, K Jia, G Yu, J Sun Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018 | 334 | 2018 |
| Meta-SR: A magnification-arbitrary network for super-resolution X Hu, H Mu, X Zhang, Z Wang, T Tan, J Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 307 | 2019 |
Jian SunChief Scientist of Megvii, Managing Director of Megvii ResearchVerified email at megvii.com
