Peter Radecki

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 9 citations into it
• Aerospace Engineering — 5 citations into it

Whom Peter Radecki trusts overall

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

1. Li Deng
2. Ross B. Girshick
3. Yoav Freund
4. Pedro F. Felzenszwalb
5. B. Vo
6. Alex Krizhevsky
7. Kaiming He
8. Geoffrey E. Hinton
9. Robert E. Schapire
10. Sebastian Thrun

Who trusts Peter Radecki overall

1. Ekim Yurtsever
2. Jacob Lambert
3. Harshitha Machiraju
4. Alexander Carballo

Papers from Peter Radecki's perspective

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

Their papers

• All Weather Perception: Joint Data Association, Tracking, and Classification for Autonomous Ground Vehicles (2016) — 34 citations