Mostafa Mehdipour-Ghazi

Computer Vision and Pattern Recognition · 2017–2025

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 8 citations into it

Whom Mostafa Mehdipour-Ghazi trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Nitish Srivastava
5. Christian Szegedy
6. Yangqing Jia
7. Yann LeCun
8. Yoshua Bengio
9. Ruslan Salakhutdinov
10. Ross B. Girshick

Who trusts Mostafa Mehdipour-Ghazi overall

1. John E. Ball
2. Guan Wang
3. Vijaypal Singh Dhaka
4. Derek T. Anderson
5. Yu Sun
6. Sangeeta Vaibhav Meena

Papers from Mostafa Mehdipour-Ghazi's perspective

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

Their papers

• A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning (2025)
• Plant identification using deep neural networks via optimization of transfer learning parameters (2017) — 487 citations