Connor Z. Lin

Computer Vision and Pattern Recognition · 2021

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

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it
• Computer Graphics and Computer-Aided Design — 41 citations into it

Whom Connor Z. Lin trusts overall

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

1. Tero Karras
2. Andreas Geiger
3. Johannes L. Schönberger
4. Michael Niemeyer
5. Diederik P. Kingma
6. Marco Marchesi
7. Geoffrey E. Hinton
8. Individualized Treat
9. Lars M. Mescheder
10. Kaiming He

Who trusts Connor Z. Lin overall

1. Peng Wang
2. Kai Zhang
3. Ang Cao
4. Hengyi Wang

Papers from Connor Z. Lin's perspective

Ordered by how strongly the researchers Connor Z. Lin 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. GENERATIVE ADVERSARIAL NETS
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
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. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Efficient Geometry-aware 3D Generative Adversarial Networks (2021) — 1,520 citations