Matthias Schubert

Computer Vision and Pattern Recognition · 2008–2020

A researcher in the Science corpus: 3 papers; trusts 166 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #18,528 of 21,575 by trust here, #15,162 by citations
• Artificial Intelligence — 19 citations into it; #12,139 of 35,345 by trust here, #20,377 by citations
• Media Technology — 10 citations into it
• Generative Models — 9 citations into it

Whom Matthias Schubert trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Diederik P. Kingma
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Li Fei-Fei
8. Tsung-Yi Lin
9. Yoshua Bengio
10. Andrew Zisserman

Who trusts Matthias Schubert overall

1. Arthur Zimek
2. Charu C. Aggarwal
3. Tomás Pevný
4. Hans-Peter Kriegel
5. Ricardo José Gabrielli Barreto Campello
6. Erich Schubert
7. Rémi Domingues
8. Aaron Klein
9. Dan Li
10. Peer Kröger

Papers from Matthias Schubert's perspective

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

Their papers

• 2D Image Registration in CT Images Using Radial Image Descriptors (2011) — 98 citations
• Angle-based outlier detection in high-dimensional data (2008) — 934 citations
• Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network (2020) — 297 citations