Dave Ferguson

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 95 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #19,966 of 21,575 by trust here, #12,992 by citations
• Artificial Intelligence — 12 citations into it; #32,502 of 35,345 by trust here, #19,439 by citations

Whom Dave Ferguson trusts overall

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

1. Piotr Doll'ar
2. Alex Krizhevsky
3. Navneet Dalal
4. Rodrigo Benenson
5. Geoffrey E. Hinton

Who trusts Dave Ferguson overall

1. Lei Tai

Papers from Dave Ferguson's perspective

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

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

Their papers

• Real-Time Pedestrian Detection with Deep Network Cascades (2015) — 253 citations