Bassam Abdallah

Computer Vision and Pattern Recognition · with Arbeiter · 2018

A researcher in the Science corpus: 1 paper; trusts 138 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it
• Aerospace Engineering — 20 citations into it
• Artificial Intelligence — 6 citations into it

Whom Bassam Abdallah trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Eric Brachmann
4. Kaiming He
5. Yann LeCun
6. David G. Lowe
7. Andreas Geiger
8. Evan Shelhamer
9. Ross B. Girshick

Papers from Bassam Abdallah's perspective

Ordered by how strongly the researchers Bassam Abdallah 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. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. Fully convolutional networks for semantic segmentation
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning (2018) — 103 citations