Mohamed Afham

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Computational Mechanics — 23 citations into it
• Artificial Intelligence — 19 citations into it
• Representation & Self-Supervised Learning — 17 citations into it

Whom Mohamed Afham trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yann LeCun
4. Alex Krizhevsky
5. Ishan Misra
6. Diederik P. Kingma
7. Yoshua Bengio
8. Ross B. Girshick
9. Ilya Sutskever
10. Andrew Zisserman

Who trusts Mohamed Afham overall

1. Renrui Zhang

Papers from Mohamed Afham's perspective

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

Their papers

• CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding (2022) — 359 citations