Fiaz Gul Khan

Computer Vision and Pattern Recognition · 2019

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 — 12 citations into it
• Artificial Intelligence — 6 citations into it

Whom Fiaz Gul Khan trusts overall

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

1. David G. Lowe
2. François Chollet
3. Timothy Dozat
4. Andrew P. Bradley
5. Kaiming He
6. Navneet Dalal
7. Christian Szegedy
8. James A. Hanley
9. Rishab Gargeya
10. Gao Huang

Papers from Fiaz Gul Khan's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Histograms of oriented gradients for human detection
4. Rethinking the Inception Architecture for Computer Vision
5. Going deeper with convolutions
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• A Deep Learning Ensemble Approach for Diabetic Retinopathy Detection (2019) — 489 citations