Ruobing Chen

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 15 citations into it

Whom Ruobing Chen trusts overall

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

1. Ilya Loshchilov
2. Kaiming He
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Alex Krizhevsky
6. Yoshua Bengio
7. Diederik P. Kingma
8. Jia Deng
9. Yann LeCun
10. Ross B. Girshick

Papers from Ruobing Chen's perspective

Ordered by how strongly the researchers Ruobing 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Et al
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer (2022) — 366 citations