Dan Guo

Computer Vision and Pattern Recognition · with Wang · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 203 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it; #14,764 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 32 citations into it
• Multimodal Learning — 26 citations into it
• Natural Language Processing — 18 citations into it
• Model Architectures — 7 citations into it
• Dialogue & Conversational AI — 6 citations into it; #68 of 131 by trust here, #115 by citations

Whom Dan Guo trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Alex Krizhevsky
5. Yoshua Bengio
6. Sepp Hochreiter
7. Kaiming He
8. Ilya Sutskever
9. Jimmy Ba
10. Jeffrey Pennington

Who trusts Dan Guo overall

1. Xiuyi Chen
2. Can Xu
3. Daxin Jiang
4. Haibo Wang

Papers from Dan Guo's perspective

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

Their papers

• Iterative Context-Aware Graph Inference for Visual Dialog (2020) — 54 citations
• Dual Visual Attention Network for Visual Dialog (2019) — 36 citations