Matthew A. Chan

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 83 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 124 citations into it
• Computer Graphics and Computer-Aided Design — 73 citations into it
• Generative Models — 46 citations into it
• 3D Vision & Pose — 24 citations into it

Whom Matthew A. Chan trusts overall

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

1. Tero Karras
2. Kaiming He
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Johannes L. Schönberger
7. Yoshua Bengio
8. Michael Niemeyer
9. Yann LeCun
10. Vincent Sitzmann

Who trusts Matthew A. Chan overall

1. Peng Wang

Papers from Matthew A. Chan's perspective

Ordered by how strongly the researchers Matthew A. Chan 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. ImageNet: A large-scale hierarchical image database
6. GENERATIVE ADVERSARIAL NETS
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Efficient Geometry-aware 3D Generative Adversarial Networks (2021) — 1,520 citations
• Generative Novel View Synthesis with 3D-Aware Diffusion Models (2023) — 328 citations