S. Cong

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 637 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 132 citations into it
• Artificial Intelligence — 93 citations into it
• Efficiency & Compression — 47 citations into it
• Model Architectures — 41 citations into it
• Electrical and Electronic Engineering — 7 citations into it
• Neural Architecture Search & AutoML — 6 citations into it
• Computational Mathematics — 5 citations into it
• Neurology — 5 citations into it

Whom S. Cong trusts overall

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

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

Papers from S. Cong's perspective

Ordered by how strongly the researchers S. Cong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• A review of convolutional neural network architectures and their optimizations (2022) — 335 citations