Marcel Hallgarten

Automotive Engineering · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 46 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Artificial Intelligence — 19 citations into it
• Control and Systems Engineering — 12 citations into it

Whom Marcel Hallgarten trusts overall

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

1. Kashyap Chitta
2. Aditya Prakash
3. Rajesh Rajamani
4. Nicholas Rhinehart
5. Andreas Geiger
6. Li Chen
7. Felipe Codevilla
8. Peng Wu
9. Alex Krizhevsky
10. Martin Treiber

Who trusts Marcel Hallgarten overall

1. Li Chen

Papers from Marcel Hallgarten's perspective

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

Their papers

• NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking (2024) — 348 citations
• Parting with Misconceptions about Learning-based Vehicle Motion Planning (2023) — 317 citations