Farzad Abdolhosseini

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #16,117 of 21,575 by trust here, #21,103 by citations
• Artificial Intelligence — 13 citations into it; #26,331 of 35,345 by trust here, #34,213 by citations
• Optimization & Training — 6 citations into it

Whom Farzad Abdolhosseini trusts overall

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

1. Kaiming He
2. Jia Deng
3. Sachin Mehta
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. X. Zhang
7. Andrew G. Howard
8. Ross B. Girshick
9. Shaoqing Ren
10. Ross Wightman

Who trusts Farzad Abdolhosseini overall

1. Sachin Mehta
2. Mohammad Rastegari
3. Fartash Faghri

Papers from Farzad Abdolhosseini's perspective

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

Their papers

• CVNets: High Performance Library for Computer Vision (2022) — 30 citations