Jinlin Guo

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 219 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Artificial Intelligence — 18 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Jinlin Guo trusts overall

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

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

Papers from Jinlin Guo's perspective

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

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

Their papers

• Adaptive Triplet Model for Fine-Grained Visual Categorization (2018) — 5 citations