Ren‐Hao Chen

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 135 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 58 citations into it
• Aerospace Engineering — 29 citations into it
• Computational Mechanics — 22 citations into it
• Geology — 22 citations into it
• Artificial Intelligence — 11 citations into it

Whom Ren‐Hao Chen trusts overall

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

1. Ross B. Girshick
2. Alex Krizhevsky
3. Kaiming He
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Charles Ruizhongtai Qi
7. Yann LeCun
8. Ilya Sutskever
9. Andrew Zisserman
10. Yoshua Bengio

Papers from Ren‐Hao Chen's perspective

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

Their papers

• Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review (2020) — 527 citations