Marco Körner

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 5 papers; trusts 761 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 109 citations into it; #7,739 of 21,575 by trust here, #11,950 by citations
• Artificial Intelligence — 60 citations into it
• Media Technology — 54 citations into it; #828 of 3,621 by trust here, #1,046 by citations
• Model Architectures — 32 citations into it
• Ecology — 20 citations into it; #2,121 of 10,717 by trust here, #7,572 by citations
• Evaluation & Benchmarks — 19 citations into it
• Atmospheric Science — 16 citations into it
• Aerospace Engineering — 12 citations into it

Whom Marco Körner trusts overall

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

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

Who trusts Marco Körner overall

1. Yuan Yuan
2. Ganesh Sistu
3. Xue Yang
4. Sumanth Chennupati
5. Lei Lin
6. Lichao Mou
7. Charlotte Pelletier
8. Yicheng Liu
9. Sabeen Ahmed
10. Isabelle Leang

Papers from Marco Körner's perspective

Ordered by how strongly the researchers Marco Körner 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
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

• Self-Attention for Raw Optical Satellite Time Series Classification (2019) — 345 citations
• Auxiliary Tasks in Multi-task Learning (2018) — 314 citations
• Building Instance Classification Using Street View Images (2018) — 351 citations
• Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders (2018) — 339 citations
• Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery (2018) — 328 citations