Joel Cameron Frank

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #20,226 of 21,575 by trust here, #14,151 by citations
• Artificial Intelligence — 10 citations into it

Whom Joel Cameron Frank trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Tero Karras
4. Alex Krizhevsky
5. Richard Zhang
6. Yoshua Bengio
7. Kaiming He
8. Jimmy Ba
9. Alec Radford
10. Karen Simonyan

Who trusts Joel Cameron Frank overall

1. Hany Farid
2. Tsu-Jui Fu
3. Chuangchuang Tan
4. Pierre Fernandez
5. Zhendong Wang
6. Luisa Verdoliva
7. Ali Borji
8. X. Wang

Papers from Joel Cameron Frank's perspective

Ordered by how strongly the researchers Joel Cameron Frank 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. GENERATIVE ADVERSARIAL NETS
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Leveraging Frequency Analysis for Deep Fake Image Recognition (2020) — 943 citations