Guanfu Chen

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 143 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Artificial Intelligence — 33 citations into it
• Model Architectures — 30 citations into it

Whom Guanfu Chen trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yann LeCun
6. Karen Simonyan
7. Yoshua Bengio
8. Ilya Sutskever
9. Diederik P. Kingma
10. Tsung-Yi Lin

Papers from Guanfu Chen's perspective

Ordered by how strongly the researchers Guanfu Chen 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Microsoft COCO: Common Objects in Context

Their papers

• On the Integration of Self-Attention and Convolution (2021) — 490 citations