Zhaoyang Li
Computer Vision and Pattern Recognition · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 100 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 90 citations into it; #5,685 of 21,575 by trust here, #9,305 by citations
- Artificial Intelligence — 40 citations into it
- Biomedical Engineering — 36 citations into it; #899 of 10,734 by trust here, #4,472 by citations
- Human-Computer Interaction — 31 citations into it; #247 of 2,253 by trust here, #523 by citations
Whom Zhaoyang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xiaodong Yang
- Alex Krizhevsky
- Geoffrey E. Hinton
- Raviteja Vemulapalli
- Ilya Sutskever
- Karen Simonyan
- Kaiming He
- Yann LeCun
- Yoshua Bengio
- Andrew Zisserman
Who trusts Zhaoyang Li overall
- Pichao Wang
- Wanqing Li
- Yonghong Hou
- Mengyuan Liu
- Chuankun Li
- Zhimin Gao
- Jun Liu
- Bo Li
- Philip O. Ogunbona
- Hong Liu
Papers from Zhaoyang Li's perspective
Ordered by how strongly the researchers Zhaoyang Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks (2016) — 386 citations
- Skeleton Optical Spectra-Based Action Recognition Using Convolutional Neural Networks (2018) — 326 citations
- Review on Modeling and Simulation of Blast Furnace (2018) — 191 citations