Manuel Brucker

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #16,763 of 21,575 by trust here, #11,286 by citations
• Aerospace Engineering — 11 citations into it; #4,632 of 6,421 by trust here, #2,449 by citations
• Artificial Intelligence — 8 citations into it

Whom Manuel Brucker trusts overall

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

1. Diederik P. Kingma
2. Stefan Hinterstoißer
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Vincent Lepetit
6. Kaiming He
7. Xavier Glorot
8. Alex Krizhevsky

Who trusts Manuel Brucker overall

1. Dieter Fox
2. Xiangyang Ji
3. Gu Wang

Papers from Manuel Brucker's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Microsoft COCO: Common Objects in Context
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Implicit 3D Orientation Learning for 6D Object Detection from RGB Images (2018) — 600 citations