Brahim Nini

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 265 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 106 citations into it
• Artificial Intelligence — 44 citations into it
• Human-Computer Interaction — 28 citations into it
• Biomedical Engineering — 26 citations into it
• 3D Vision & Pose — 12 citations into it

Whom Brahim Nini trusts overall

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

1. Hilde Kuehne
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Kaiming He
5. David G. Lowe
6. Ivan Laptev
7. Yann LeCun
8. Ross B. Girshick
9. Yoshua Bengio
10. Diederik P. Kingma

Papers from Brahim Nini's perspective

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

Their papers

• Vision-based human activity recognition: a survey (2020) — 416 citations