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Xiangyu Zhang
Xiangyu Zhang
Co-founder & Chief Scientist of StepFun
Verified email at megvii.com
Title
Cited by
Cited by
Year
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
2465442016
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
258092015
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
166762015
Identity mappings in deep residual networks
K He, X Zhang, S Ren, J Sun
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
130752016
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
92032018
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
66742018
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
31712017
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
20462021
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
19402017
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
10612020
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
10562015
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
10092022
Simple baselines for image restoration
L Chen, X Chu, X Zhang, J Sun
European conference on computer vision, 17-33, 2022
8772022
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
8222018
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
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
7452019
You only look one-level feature
Q Chen, Y Wang, T Yang, X Zhang, J Cheng, J Sun
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
7412021
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
707*2019
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
668*2019
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
6252018
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
602*2018
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