Roland Angst

Computer Vision and Pattern Recognition · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 49 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it; #10,666 of 21,575 by trust here, #9,722 by citations
• Computational Mechanics — 22 citations into it; #8,625 of 10,001 by trust here, #4,600 by citations
• Geology — 9 citations into it; #583 of 687 by trust here, #423 by citations

Whom Roland Angst trusts overall

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

1. Vladimir Kolmogorov
2. Niloy J. Mitra
3. Vladimir G. Kim
4. Pedro F. Felzenszwalb
5. Leonidas J. Guibas
6. Qi-Xing Huang
7. Andreas Wächter
8. Thomas Eiter

Who trusts Roland Angst overall

1. Christian Häne
2. Angela Dai
3. Marc Pollefeys
4. Nikolay Savinov

Papers from Roland Angst's perspective

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

Their papers

• Joint 3D Scene Reconstruction and Class Segmentation (2013) — 247 citations
• Data-driven structural priors for shape completion (2015) — 194 citations