Marcus Baum

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Aerospace Engineering — 9 citations into it
• Computer Networks and Communications — 9 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Civil and Structural Engineering — 5 citations into it

Whom Marcus Baum trusts overall

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

1. B. Vo
2. Ronald P. S. Mahler
3. Radford M. Neal
4. Johannes Koch
5. Simon Justin Julier
6. Ba-Ngu Vo
7. X. Rong Li
8. Michael Feldmann
9. Piotr Doll'ar
10. Dominic Schuhmacher

Papers from Marcus Baum's perspective

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

1. Pattern Recognition and Machine Learning
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Statistical Multisource-Multitarget Information Fusion
5. Gradient-based learning applied to document recognition
6. A Consistent Metric for Performance Evaluation of Multi-Object Filters (IEEE Transactions on Signal Processing)
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Design And Analysis Of Modern Tracking Systems
10. ImageNet: A large-scale hierarchical image database

Their papers

• Extended Object Tracking: Introduction, Overview and Applications (2016) — 432 citations