Zhenyu He
Computer Vision and Pattern Recognition · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) · 2009–2019
A researcher in the Science corpus: 4 papers; trusts 249 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 159 citations into it; #9,534 of 21,575 by trust here, #6,146 by citations
- Artificial Intelligence — 21 citations into it; #14,799 of 35,345 by trust here, #28,481 by citations
- Biomedical Engineering — 7 citations into it; #2,550 of 10,734 by trust here, #9,032 by citations
- Media Technology — 5 citations into it
- Signal Processing — 5 citations into it
Whom Zhenyu He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapni
- Ling Bao
- Jani Mäntyjärvi
- Nishkam Ravi
- Geoffrey E. Hinton
- Stephen S. Intille
- Karen Simonyan
- Martin Danelljan
- Alex Krizhevsky
- Kaiming He
Who trusts Zhenyu He overall
Papers from Zhenyu He's perspective
Ordered by how strongly the researchers Zhenyu He trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Et al
Their papers
- The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
- Target-Aware Deep Tracking (2019) — 378 citations
- The Seventh Visual Object Tracking VOT2019 Challenge Results (2019) — 486 citations
- Activity recognition from acceleration data based on discrete consine transform and SVM (2009) — 304 citations