Lukas von Stumberg

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 110 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 64 citations into it; #18,742 of 21,575 by trust here, #16,367 by citations
• Aerospace Engineering — 41 citations into it; #5,386 of 6,421 by trust here, #4,205 by citations
• Geology — 10 citations into it
• Media Technology — 10 citations into it
• Artificial Intelligence — 9 citations into it
• Electrical and Electronic Engineering — 6 citations into it

Whom Lukas von Stumberg trusts overall

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

1. Jakob J. Engel
2. Daniel Cremers
3. Hans-Andrea Loeliger
4. Jürgen Sturm
5. Kaiming He
6. Raul Mur-Artal
7. Gunnar Farnebäck
8. Geoffrey E. Hinton
9. Thomas Schöps
10. Ross B. Girshick

Who trusts Lukas von Stumberg overall

1. Zachary Teed
2. Ning Zhang

Papers from Lukas von Stumberg's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet Large Scale Visual Recognition Challenge
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry (2020) — 464 citations