Michael Arens

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 275 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 95 citations into it
• Artificial Intelligence — 73 citations into it
• Safety, Robustness & Interpretability — 52 citations into it
• Natural Language Processing — 10 citations into it
• Model Architectures — 7 citations into it
• Biophysics — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Michael Arens trusts overall

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

1. Geoffrey E. Hinton
2. Karen Simonyan
3. Alex Krizhevsky
4. Yoshua Bengio
5. Yann LeCun
6. Ilya Sutskever
7. Kaiming He
8. Diederik P. Kingma
9. J. Urgen Schmidhuber
10. Sepp Hochreiter

Papers from Michael Arens's perspective

Ordered by how strongly the researchers Michael Arens 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Learning Multiple Layers of Features from Tiny Images

Their papers

• The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
• Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey (2019) — 459 citations