C. McCool

Computer Vision and Pattern Recognition · 2009–2020

A researcher in the Science corpus: 5 papers; trusts 66 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Artificial Intelligence — 15 citations into it

Whom C. McCool trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Shaoqing Ren

Who trusts C. McCool overall

1. Arsha Nagrani
2. Joon Son Chung

Papers from C. McCool's perspective

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

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

Their papers

• DeepFruits: A Fruit Detection System Using Deep Neural Networks (2016) — 1,000 citations
• Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar (2020) — 23 citations
• The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research (2016) — 83 citations
• On the vulnerability of face verification systems to hill-climbing attacks (2010) — 148 citations
• MOBIO Database for the ICPR 2010 Face and Speech Competition (2009) — 30 citations