Roy Or-El

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 2 papers; trusts 216 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 75 citations into it; #12,551 of 21,575 by trust here, #8,722 by citations
• Computer Graphics and Computer-Aided Design — 30 citations into it
• Generative Models — 29 citations into it
• Artificial Intelligence — 8 citations into it

Whom Roy Or-El trusts overall

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

1. Diederik P. Kingma
2. Michael Niemeyer
3. Tero Karras
4. Kaiming He
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Jimmy Ba
8. Yoshua Bengio
9. Yann LeCun
10. Ross B. Girshick

Who trusts Roy Or-El overall

1. Ayush Kumar Tewari
2. Alex Nichol
3. Michael Zollhöfer
4. A. Tewari
5. Luan Tran

Papers from Roy Or-El's perspective

Ordered by how strongly the researchers Roy Or-El 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. GENERATIVE ADVERSARIAL NETS
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning Detailed Face Reconstruction from a Single Image (2016) — 359 citations
• StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation (2021) — 400 citations