Martin Breidt

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #16,892 of 21,575 by trust here, #14,151 by citations

Whom Martin Breidt trusts overall

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

1. Volker Blanz
2. Andrew William Fitzgibbon
3. Thomas Vetter
4. Curzio Basso
5. Yann LeCun

Who trusts Martin Breidt overall

1. Tadas Baltrusaitis
2. Anurag Ranjan
3. Mao Ye
4. Peter Robinson
5. Timo Bolkart
6. Qing Zhang

Papers from Martin Breidt's perspective

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

1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Deep Learning Face Attributes in the Wild
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Representation Learning: A Review and New Perspectives

Their papers

• On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset (2019) — 170 citations
• Robust semantic analysis by synthesis of 3D facial motion (2011) — 32 citations