Abdellatif Mtibaa

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 257 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 90 citations into it
• Artificial Intelligence — 44 citations into it
• Aerospace Engineering — 11 citations into it

Whom Abdellatif Mtibaa trusts overall

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

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

Papers from Abdellatif Mtibaa's perspective

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

Their papers

• A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets (2021) — 449 citations