Johann Marius Zöllner

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 311 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it; #20,162 of 21,575 by trust here, #10,154 by citations
• Artificial Intelligence — 24 citations into it; #32,963 of 35,345 by trust here, #15,004 by citations
• Evaluation & Benchmarks — 11 citations into it
• Model Architectures — 10 citations into it
• Aerospace Engineering — 8 citations into it

Whom Johann Marius Zöllner trusts overall

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

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

Who trusts Johann Marius Zöllner overall

1. Alexey Dosovitskiy
2. Felipe Codevilla
3. Matthias Müller
4. Tete Xiao
5. M. Alam
6. Mennatullah Siam

Papers from Johann Marius Zöllner's perspective

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

Their papers

• MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving (2016) — 772 citations
• Autonomous Driving (2018)
• Testing of Advanced Driver Assistance Towards Automated Driving: A Survey and Taxonomy on Existing Approaches and Open Questions (2015) — 120 citations