Arno Knapitsch

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Aerospace Engineering — 20 citations into it
• Geology — 11 citations into it
• 3D Vision & Pose — 7 citations into it

Whom Arno Knapitsch trusts overall

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

1. Yasutaka Furukawa
2. Changchang Wu
3. Johannes L. Schönberger
4. Sameer Agarwal
5. S. M. Seitz
6. Brian Curless
7. Qian-Yi Zhou
8. Noah Snavely
9. Christoph Strecha
10. Engin Tola

Who trusts Arno Knapitsch overall

1. Daniel Barath
2. Bernhard Kerbl
3. Binbin Huang
4. Lingjie Liu
5. Peter Hedman
6. Jana Noskova
7. Georgios Kopanas
8. Zehao Yu
9. Jiatao Gu

Papers from Arno Knapitsch's perspective

Ordered by how strongly the researchers Arno Knapitsch 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. Distinctive Image Features from Scale-Invariant Keypoints
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Tanks and temples (2017) — 917 citations