Omry Sendik

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Generative Models — 15 citations into it
• Artificial Intelligence — 5 citations into it

Whom Omry Sendik trusts overall

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

1. Diederik P. Kingma
2. Xun Huang
3. Alec Radford
4. Geoffrey E. Hinton
5. Tero Karras
6. Alex Krizhevsky
7. Ian J. Goodfellow
8. Yoshua Bengio
9. Andrew Brock
10. Karen Simonyan

Papers from Omry Sendik's perspective

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

Their papers

• Unsupervised multi-modal Styled Content Generation (2020) — 4 citations