Maximilian Durner

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 212 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 71 citations into it; #16,761 of 21,575 by trust here, #11,083 by citations
• Aerospace Engineering — 17 citations into it; #4,631 of 6,421 by trust here, #2,367 by citations
• Artificial Intelligence — 16 citations into it
• Model Architectures — 10 citations into it

Whom Maximilian Durner trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Yoshua Bengio
7. Yann LeCun
8. Karen Simonyan
9. Ilya Sutskever
10. Andrew Zisserman

Who trusts Maximilian Durner overall

1. Dieter Fox
2. Xiangyang Ji
3. Gu Wang

Papers from Maximilian Durner's perspective

Ordered by how strongly the researchers Maximilian Durner 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. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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

• Implicit 3D Orientation Learning for 6D Object Detection from RGB Images (2018) — 600 citations
• Unknown Object Segmentation from Stereo Images (2021) — 40 citations