Djamila Romaissa Beddiar

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 Djamila Romaissa Beddiar 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. Ivan Laptev
6. Yann LeCun
7. David G. Lowe
8. Ross B. Girshick
9. Yoshua Bengio
10. Diederik P. Kingma

Papers from Djamila Romaissa Beddiar's perspective

Ordered by how strongly the researchers Djamila Romaissa Beddiar 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. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

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