Roee Enbar

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 2 papers; trusts 179 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it; #4,594 of 21,575 by trust here, #6,954 by citations
• Evaluation & Benchmarks — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Roee Enbar trusts overall

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

1. Gary B. Huang
2. Yun Fu
3. Alex Krizhevsky
4. Paul A. Viola
5. Geoffrey E. Hinton
6. Lior Wolf
7. Ilya Sutskever
8. Corinna Cortes
9. Radford M. Neal
10. Guo-qing Guo

Who trusts Roee Enbar overall

1. Wojciech Samek
2. Tal Hassner
3. Gil Levi
4. Li Luo
5. Steven C. Y. Hung
6. Rasmus Rothe
7. Mahmoud Afifi
8. Shruti Bhargava
9. Sebastian Lapuschkin
10. Jordi Mansanet

Papers from Roee Enbar's perspective

Ordered by how strongly the researchers Roee Enbar 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
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

• Age and Gender Estimation of Unfiltered Faces (2014) — 793 citations
• Effective face frontalization in unconstrained images (2014) — 358 citations