Sihong Chen

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 113 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #17,519 of 21,575 by trust here, #11,721 by citations
• Artificial Intelligence — 24 citations into it
• Optimization & Training — 7 citations into it
• Model Architectures — 6 citations into it

Whom Sihong Chen trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Ross B. Girshick
7. Yoshua Bengio
8. X. Zhang
9. Jimmy Ba
10. Karen Simonyan

Who trusts Sihong Chen overall

1. Shaoting Zhang
2. Walter Hugo Lopez Pinaya
3. Dimitris N. Metaxas

Papers from Sihong Chen's perspective

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

Their papers

• The Medical Segmentation Decathlon (2021) — 1,513 citations
• Med3D: Transfer Learning for 3D Medical Image Analysis (2019) — 681 citations