Casey Meehan

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Generative Models — 13 citations into it
• Evaluation & Benchmarks — 10 citations into it
• Artificial Intelligence — 9 citations into it
• Signal Processing — 6 citations into it

Whom Casey Meehan trusts overall

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

1. Diederik P. Kingma
2. David Lopez-Paz
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Eitan Richardson
6. Andrew Brock
7. Alex Krizhevsky
8. Karen Simonyan
9. Kaiming He
10. Yann LeCun

Who trusts Casey Meehan overall

1. Ali Borji
2. Gerrit J. J. van den Burg

Papers from Casey Meehan's perspective

Ordered by how strongly the researchers Casey Meehan trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Going deeper with convolutions

Their papers

• A Non-Parametric Test to Detect Data-Copying in Generative Models (2020) — 76 citations