Huub Heijnen

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Aerospace Engineering — 11 citations into it

Whom Huub Heijnen trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Johannes L. Schönberger

Papers from Huub Heijnen's perspective

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

1. Gradient-based learning applied to document recognition
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Distinctive Image Features from Scale-Invariant Keypoints
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• SOSNet: Second Order Similarity Regularization for Local Descriptor Learning (2019) — 385 citations