Itamar Tamir

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 7 citations into it

Whom Itamar Tamir trusts overall

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

1. Ross B. Girshick
2. Yann LeCun
3. Xiaosong Wang
4. Christian Szegedy
5. Shaoqing Ren
6. Kaiming He
7. Alex Krizhevsky
8. Evan Shelhamer

Papers from Itamar Tamir's perspective

Ordered by how strongly the researchers Itamar Tamir trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Rethinking the Inception Architecture for Computer Vision
10. Going deeper with convolutions

Their papers

• RadBot-CXR: Classification of Four Clinical Finding Categories in Chest X-Ray Using Deep Learning (2018) — 17 citations