Amirreza Lashkari

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 12 citations into it
• Optimization & Training — 6 citations into it

Whom Amirreza Lashkari trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Barret Zoph
4. Xavier Gastaldi
5. Sergey Zagoruyko
6. Geoffrey E. Hinton
7. Jia Deng

Papers from Amirreza Lashkari's perspective

Ordered by how strongly the researchers Amirreza Lashkari 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: A large-scale hierarchical image database
3. Learning Multiple Layers of Features from Tiny Images
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• UniformAugment: A Search-free Probabilistic Data Augmentation Approach (2020) — 62 citations