Johan Vertens

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 150 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #16,876 of 21,575 by trust here, #15,162 by citations
• Artificial Intelligence — 13 citations into it
• Model Architectures — 6 citations into it

Whom Johan Vertens trusts overall

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

1. Kaiming He
2. Evan Shelhamer
3. Karen Simonyan
4. Yangqing Jia
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Alex Krizhevsky
8. Andrew Zisserman
9. Yann LeCun
10. Ilya Sutskever

Who trusts Johan Vertens overall

1. Fahad Lateef
2. Ganesh Sistu
3. Yassine Ruichek
4. Christos Sakaridis
5. Sorin Mihai Grigorescu
6. Roy Shilkrot

Papers from Johan Vertens's perspective

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

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

Their papers

• SMSnet: Semantic motion segmentation using deep convolutional neural networks (2017) — 68 citations
• AdapNet: Adaptive semantic segmentation in adverse environmental conditions (2017) — 213 citations