Di Guo

Computer Vision and Pattern Recognition · with Liu · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 130 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 19 citations into it

Whom Di Guo trusts overall

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

1. Brian Yamauchi
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ross B. Girshick
6. Diederik P. Kingma
7. Yoshua Bengio
8. Sam Wiseman
9. Yann LeCun
10. Ilya Sutskever

Who trusts Di Guo overall

1. S. Gadre

Papers from Di Guo's perspective

Ordered by how strongly the researchers Di 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Et al
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Embodied Semantic Scene Graph Generation (2021) — 37 citations
• Multi-agent Embodied Question Answering in Interactive Environments (2020) — 34 citations