| 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 | 346089 | 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 | 30982 | 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 | 19564 | 2015 |
| Identity mappings in deep residual networks K He, X Zhang, S Ren, J Sun European conference on computer vision, 630-645, 2016 | 15927 | 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 | 13324 | 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 | 10150 | 2018 |
| Repvgg: Making vgg-style convnets great again X Ding, X Zhang, N Ma, J Han, G Ding, J Sun 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2021 | 4162 | 2021 |
| Channel pruning for accelerating very deep neural networks Y He, X Zhang, J Sun 2017 IEEE international conference on computer vision (ICCV), 1398-1406, 2017 | 3935 | 2017 |
| Simple baselines for image restoration L Chen, X Chu, X Zhang, J Sun European conference on computer vision, 17-33, 2022 | 2566 | 2022 |
| Scaling up your kernels to 31x31: Revisiting large kernel design in cnns X Ding, X Zhang**, J Han, G Ding Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 2301 | 2022 |
| Large kernel matters—Improve semantic segmentation by global convolutional network C Peng, X Zhang, G Yu, G Luo, J Sun 2017 IEEE conference on computer vision and pattern recognition (CVPR), 1743 …, 2017 | 2219 | 2017 |
| Objects365: A large-scale, high-quality dataset for object detection S Shao, Z Li, T Zhang, C Peng, G Yu, X Zhang, J Li, J Sun 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 8429-8438, 2019 | 1419 | 2019 |
| 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 | 1325 | 2020 |
| Motr: End-to-end multiple-object tracking with transformer F Zeng, B Dong, Y Zhang, T Wang, X Zhang, Y Wei European conference on computer vision, 659-675, 2022 | 1263 | 2022 |
| 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 | 1229 | 2018 |
| Petr: Position embedding transformation for multi-view 3d object detection Y Liu, T Wang, X Zhang, J Sun European conference on computer vision, 531-548, 2022 | 1223 | 2022 |
| 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 | 1185 | 2015 |
| You only look one-level feature Q Chen, Y Wang, T Yang, X Zhang, J Cheng, J Sun 2021 IEEE/CVF conference on computer vision and pattern recognition (CVPR …, 2021 | 1091 | 2021 |
| Bounding box regression with uncertainty for accurate object detection Y He, C Zhu, J Wang, M Savvides, X Zhang 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2019 | 909* | 2019 |
| Metapruning: Meta learning for automatic neural network channel pruning Z Liu, H Mu, X Zhang, Z Guo, X Yang, KT Cheng, J Sun 2019 IEEE/CVF international conference on computer vision (ICCV), 3295-3304, 2019 | 863* | 2019 |
Jian SunChief Scientist of Megvii, Managing Director of Megvii ResearchVerified email at megvii.com
