Tim Salzmann

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 18 citations into it
• Automotive Engineering — 17 citations into it
• Model Architectures — 5 citations into it

Whom Tim Salzmann trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Sepp Hochreiter
4. Kyunghyun Cho
5. Dzmitry Bahdanau
6. Diederik P. Kingma
7. Alex Krizhevsky
8. J. Urgen Schmidhuber
9. Yann LeCun
10. Kaiming He

Who trusts Tim Salzmann overall

1. Ye Yuan
2. Zikang Zhou
3. Tianpei Gu
4. Xinshuo Weng
5. Karttikeya Mangalam
6. Luyao Ye

Papers from Tim Salzmann's perspective

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

Their papers

• Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data (2020) — 1,349 citations