Patrick Wieschollek

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 188 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Computational Mechanics — 12 citations into it
• Artificial Intelligence — 10 citations into it
• Geology — 10 citations into it
• Information Retrieval & Search — 9 citations into it
• Aerospace Engineering — 8 citations into it

Whom Patrick Wieschollek trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. David G. Lowe
4. Artem Babenko
5. Herv'e J'egou
6. Charles Ruizhongtai Qi
7. Geoffrey E. Hinton
8. Andrew Zisserman
9. Alex Krizhevsky
10. Jerome H. Friedman

Who trusts Patrick Wieschollek overall

1. Jeff Johnson
2. Pedro Hermosilla
3. Matthijs Douze
4. Herv'e J'egou
5. Jens Behley

Papers from Patrick Wieschollek's perspective

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

Their papers

• Flex-Convolution - Million-Scale Point-Cloud Learning Beyond Grid-Worlds (2018) — 123 citations
• Efficient Large-Scale Approximate Nearest Neighbor Search on the GPU (2016) — 66 citations