Solomon Atnafu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 148 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #15,017 of 21,575 by trust here, #21,103 by citations
• Generative Models — 9 citations into it
• Artificial Intelligence — 7 citations into it
• Model Architectures — 5 citations into it

Whom Solomon Atnafu trusts overall

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

1. Andrew P. Bradley
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Kaiming He
5. Diederik P. Kingma
6. Karen Simonyan
7. Ming-Yu Liu
8. Yuezun Li
9. Ashish Vaswani
10. Yoshua Bengio

Who trusts Solomon Atnafu overall

1. Junke Wang

Papers from Solomon Atnafu's perspective

Ordered by how strongly the researchers Solomon Atnafu 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deepfake Video Detection Using Convolutional Vision Transformer (2021) — 297 citations