Jia Guo

Computer Vision and Pattern Recognition · with Potkonjak · 2018

A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #11,640 of 21,575 by trust here, #19,766 by citations
• Artificial Intelligence — 6 citations into it

Whom Jia Guo trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Kaiming He
4. Yann LeCun
5. Yoshua Bengio
6. Andrew Zisserman
7. Geoffrey E. Hinton
8. Gao Huang
9. X. Zhang
10. L. Eon Bottou

Who trusts Jia Guo overall

1. Abhishek Chakraborty
2. Mingfu Xue
3. Ankit Mondal
4. Can He
5. Jian Wang

Papers from Jia Guo's perspective

Ordered by how strongly the researchers Jia 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Watermarking Deep Neural Networks for Embedded Systems (2018) — 191 citations