Max Maria Losch

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 130 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #17,776 of 21,575 by trust here, #20,271 by citations
• Artificial Intelligence — 21 citations into it; #28,861 of 35,345 by trust here, #32,362 by citations

Whom Max Maria Losch trusts overall

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

1. David G. Lowe
2. Kaiming He
3. Christopher Evans
4. Bolei Zhou
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Ross B. Girshick
8. Christian Szegedy
9. Yoshua Bengio
10. Karen Simonyan

Who trusts Max Maria Losch overall

1. Gesina Schwalbe
2. Tuomas P. Oikarinen
3. Bettina Finzel
4. Subhro Das

Papers from Max Maria Losch's perspective

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

Their papers

• Interpretability Beyond Classification Output: Semantic Bottleneck Networks (2019) — 75 citations