Luuk J. Spreeuwers

Computer Vision and Pattern Recognition · 2012–2019

A researcher in the Science corpus: 2 papers; trusts 80 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Generative Models — 17 citations into it
• Artificial Intelligence — 5 citations into it

Whom Luuk J. Spreeuwers trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Christian Szegedy
4. Alex Krizhevsky
5. Kaiming He
6. Jimmy Ba
7. Yoshua Bengio
8. Jun-Yan Zhu
9. Yann LeCun
10. Ross B. Girshick

Papers from Luuk J. Spreeuwers's perspective

Ordered by how strongly the researchers Luuk J. Spreeuwers 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. GENERATIVE ADVERSARIAL NETS
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Layer-Based Sequential Framework for Scene Generation with GANs (2019) — 38 citations
• The impact of image quality on the performance of face recognition (2012) — 21 citations