Mohamad Shahbazi

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 103 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 66 citations into it
• Artificial Intelligence — 40 citations into it
• Model Architectures — 6 citations into it

Whom Mohamad Shahbazi trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Christian Szegedy
8. Karen Simonyan
9. Ross B. Girshick
10. Ilya Sutskever

Papers from Mohamad Shahbazi's perspective

Ordered by how strongly the researchers Mohamad Shahbazi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet Large Scale Visual Recognition Challenge
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

• A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials (2022) — 87 citations