Yaniv Bar

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 9 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Yaniv Bar trusts overall

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

1. Alex Krizhevsky
2. Aude Oliva
3. Geoffrey E. Hinton
4. Jia Deng
5. Ilya Sutskever
6. Yann LeCun
7. Antonio Torralba
8. Jeff Donahue
9. Yoshua Bengio
10. Kaiming He

Who trusts Yaniv Bar overall

1. Hayit Greenspan
2. Xiaogang Li
3. B. van Ginneken
4. Seonwoo Min
5. Le Lu
6. Mohammad Hesam Hesamian
7. Chunli Qin
8. Berkman Sahiner
9. Andres Diaz-Pinto
10. Tiantian Pang

Papers from Yaniv Bar's perspective

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

Their papers

• Chest pathology detection using deep learning with non-medical training (2015) — 370 citations
• Deep learning with non-medical training used for chest pathology identification (2015) — 325 citations