Min Chen

Computer Vision and Pattern Recognition · with Prisacariu · 2021

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Aerospace Engineering — 9 citations into it
• Computer Graphics and Computer-Aided Design — 9 citations into it

Whom Min Chen trusts overall

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

1. Kaiming He

Papers from Min Chen's perspective

Ordered by how strongly the researchers Min 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• NeRF-: Neural Radiance Fields Without Known Camera Parameters (2021) — 712 citations