Yanjun Huang

Automotive Engineering · 2022

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 43 citations into it
• Computer Vision and Pattern Recognition — 41 citations into it
• Artificial Intelligence — 34 citations into it

Whom Yanjun Huang trusts overall

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

1. Diederik P. Kingma
2. Ilya Sutskever
3. Geoffrey E. Hinton
4. Nachiket Deo
5. Alex Krizhevsky
6. Yoshua Bengio
7. Kaiming He
8. Alex Graves
9. Ruslan Salakhutdinov
10. Yann LeCun

Papers from Yanjun Huang's perspective

Ordered by how strongly the researchers Yanjun Huang 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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 Survey on Trajectory-Prediction Methods for Autonomous Driving (2022) — 653 citations