Matthias Minderer

Computer Vision and Pattern Recognition · with Cole · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it

Whom Matthias Minderer trusts overall

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

1. Karen Simonyan
2. Emily L. Denton
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Andrew Zisserman
6. Alex Krizhevsky
7. Rob Fergus
8. Yann LeCun
9. Yoshua Bengio
10. Kaiming He

Who trusts Matthias Minderer overall

1. Vincent Le Guen
2. Anand Gopalakrishnan
3. Andreas Blattmann
4. Sergiu Oprea
5. Sjoerd van Steenkiste
6. Nicolas Thomé
7. Timo Milbich
8. Michael Dorkenwald

Papers from Matthias Minderer's perspective

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

Their papers

• Unsupervised Learning of Object Structure and Dynamics from Videos (2019) — 162 citations