Lars Rosenbaum
Computer Vision and Pattern Recognition · with Dietmayer · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 357 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 157 citations into it; #14,539 of 21,575 by trust here, #9,563 by citations
- Artificial Intelligence — 53 citations into it
- Aerospace Engineering — 48 citations into it
- Automotive Engineering — 31 citations into it; #1,435 of 3,081 by trust here, #1,222 by citations
- Environmental Engineering — 29 citations into it; #3,855 of 5,479 by trust here, #3,203 by citations
- Evaluation & Benchmarks — 21 citations into it
- Probabilistic & Bayesian Methods — 11 citations into it
- Geology — 10 citations into it
Whom Lars Rosenbaum trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Ross B. Girshick
- Alex Krizhevsky
- Alex Graves
- Shaoqing Ren
- Yann LeCun
- Yarin Gal
- Yoshua Bengio
- Diederik P. Kingma
Who trusts Lars Rosenbaum overall
Papers from Lars Rosenbaum's perspective
Ordered by how strongly the researchers Lars Rosenbaum trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge