Xiangyu Zhang

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	Hepsi	2020 yılından bugüne
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Katkıda bulunan yazarlar

Jian SunChief Scientist of Megvii, Managing Director of Megvii Researchmegvii.com üzerinde doğrulanmış e-posta adresine sahip
Kaiming HeAssociate Professor, EECS, MITmit.edu üzerinde doğrulanmış e-posta adresine sahip
Shaoqing RenNIOnio.com üzerinde doğrulanmış e-posta adresine sahip
Tiancai WangMEGVII Technologytju.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Zeming LiHong Kong University of Science and Technology (HKUST)connect.ust.hk üzerinde doğrulanmış e-posta adresine sahip
Ningning MaNIOust.hk üzerinde doğrulanmış e-posta adresine sahip
Tong YangFudan University, Megvii Incmegvii.com üzerinde doğrulanmış e-posta adresine sahip
Gang YUStepFunstepfun.com üzerinde doğrulanmış e-posta adresine sahip
Yukang ChenResearch Scientist, NVIDIAnvidia.com üzerinde doğrulanmış e-posta adresine sahip
Chao PengNIO, Perception Directornio.com üzerinde doğrulanmış e-posta adresine sahip
Jiaya JiaChair Professor, HKUST; Adjunct Prof., CUHKcse.ust.hk üzerinde doğrulanmış e-posta adresine sahip
Zheng GeSenior Researcher, StepFunfuji.waseda.jp üzerinde doğrulanmış e-posta adresine sahip
Zechun LiuMeta Reality Labsandrew.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Ethan HeAI research engineernvidia.com üzerinde doğrulanmış e-posta adresine sahip
Zichao GuoShopeeshopee.com üzerinde doğrulanmış e-posta adresine sahip
Ruosi WanHong Kong University of Science and Technologyconnect.ust.hk üzerinde doğrulanmış e-posta adresine sahip
Xiaohan DingBytedancemails.tsinghua.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Xinyu Zhou

Takip et

Xiangyu Zhang

Co-founder & Chief Scientist of StepFun

megvii.com üzerinde doğrulanmış e-posta adresine sahip

Neural Network Architectures Efficient Deep Learning Computer Vision


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
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	254971	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	26391	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	17104	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	13391	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	9603	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	7030	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	3241	2017
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	2247	2021
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	1980	2017
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	1124	2022
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	1083	2020
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	1075	2015
Simple baselines for image restoration L Chen, X Chu, X Zhang, J Sun European conference on computer vision, 17-33, 2022	991	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	864	2018
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	819	2019
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	785	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	737*	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	688*	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	646	2018
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	608	2022

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