Mahmoud Zidan

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it

Whom Mahmoud Zidan trusts overall

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

1. Joseph Redmon

Papers from Mahmoud Zidan's perspective

Ordered by how strongly the researchers Mahmoud Zidan trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. SSD: Single Shot MultiBox Detector
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. You Only Look Once: Unified, Real-Time Object Detection
5. YOLO9000: Better, Faster, Stronger
6. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Gradient-based learning applied to document recognition

Their papers

• YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (2018) — 172 citations