Stav Shapiro

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 85 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it; #8,236 of 21,575 by trust here, #6,542 by citations
• Generative Models — 31 citations into it; #775 of 1,956 by trust here, #733 by citations

Whom Stav Shapiro trusts overall

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

1. Tero Karras
2. Rameen Abdal
3. Geoffrey E. Hinton
4. Kaiming He

Who trusts Stav Shapiro overall

1. Yuval Alaluf

Papers from Stav Shapiro's perspective

Ordered by how strongly the researchers Stav Shapiro 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation (2020) — 1,287 citations