Hans Op de Beeck

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 124 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #16,571 of 21,575 by trust here, #13,542 by citations
• Cognitive Neuroscience — 14 citations into it; #7,496 of 10,852 by trust here, #6,180 by citations
• Neuroscience — 7 citations into it
• Artificial Intelligence — 5 citations into it

Whom Hans Op de Beeck trusts overall

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

1. Alex Krizhevsky
2. David G. Lowe
3. Leon A. Gatys
4. Geoffrey E. Hinton
5. Nikolaus Kriegeskorte
6. Steven Bird
7. Andrew Zisserman
8. Svetlana Lazebnik
9. Ilya Sutskever
10. Christian Szegedy

Who trusts Hans Op de Beeck overall

1. Robert Geirhos

Papers from Hans Op de Beeck's perspective

Ordered by how strongly the researchers Hans Op de Beeck 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet Large Scale Visual Recognition Challenge
5. Going deeper with convolutions
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers

• Deep Neural Networks as a Computational Model for Human Shape Sensitivity (2016) — 321 citations