Zaid Bin Omar

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Human-Computer Interaction — 11 citations into it
• Biomedical Engineering — 8 citations into it

Whom Zaid Bin Omar trusts overall

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

1. David G. Lowe
2. Michael I. Jordanzoubin
3. Bharti Bansal
4. Trevor Darrell
5. Nasser H. Dardas
6. Herbert Bay
7. Liang Wang
8. Katja Nummiaro
9. Heba Abdelnasser
10. Lars Bretzner

Papers from Zaid Bin Omar's perspective

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

Their papers

• A review of hand gesture and sign language recognition techniques (2017) — 497 citations