Tobias Ollmann

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 399 researchers and is trusted by 450 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 59 citations into it; #1,992 of 21,575 by trust here, #4,317 by citations
• Artificial Intelligence — 26 citations into it
• Model Architectures — 10 citations into it
• Aerospace Engineering — 6 citations into it

Whom Tobias Ollmann trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Andrew Zisserman
7. Shaoqing Ren
8. Christian Szegedy
9. Yann LeCun
10. Yoshua Bengio

Who trusts Tobias Ollmann overall

1. Alexander Kirillov
2. Bowen Cheng
3. Liang-Chieh Chen
4. Xiangtai Li
5. Yuhui Yuan
6. Ross B. Girshick
7. Kaiming He
8. Paul Voigtlaender
9. Huiyu Wang
10. Christos Sakaridis

Papers from Tobias Ollmann's perspective

Ordered by how strongly the researchers Tobias Ollmann 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes (2017) — 1,529 citations