Volker Fischer

Computer Vision and Pattern Recognition · with Fuchs · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #8,187 of 21,575 by trust here, #8,952 by citations
• Computational Mechanics — 18 citations into it; #3,031 of 10,001 by trust here, #2,361 by citations
• Model Architectures — 17 citations into it; #918 of 2,278 by trust here, #1,231 by citations
• Artificial Intelligence — 16 citations into it
• Geology — 12 citations into it

Whom Volker Fischer trusts overall

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

1. Yongming Rao
2. Max Welling
3. Taco Cohen
4. Geoffrey E. Hinton
5. Daniel E. Worrall
6. Diederik P. Kingma
7. Alex Krizhevsky

Who trusts Volker Fischer overall

1. Petar Velickovic
2. Tess E. Smidt
3. Octavian-Eugen Ganea
4. Yi Liao
5. David W. Romero
6. Mario Geiger
7. Matthew McPartlon

Papers from Volker Fischer's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks (2020) — 953 citations