Yuanhao Guo

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 115 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 30 citations into it
• Model Architectures — 18 citations into it
• Optimization & Training — 7 citations into it
• Natural Language Processing — 5 citations into it

Whom Yuanhao Guo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Jia Deng
6. Yoshua Bengio
7. Oriol Vinyals
8. Andrew Zisserman
9. Ilya Sutskever
10. Yann LeCun

Papers from Yuanhao Guo's perspective

Ordered by how strongly the researchers Yuanhao Guo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. ImageNet: A large-scale hierarchical image database
5. Going deeper with convolutions
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet Large Scale Visual Recognition Challenge
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• CNN-RNN: a large-scale hierarchical image classification framework (2017) — 144 citations