Henrik Aanæs

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #9,711 of 21,575 by trust here, #6,671 by citations
• Computer Graphics and Computer-Aided Design — 12 citations into it
• Aerospace Engineering — 7 citations into it; #2,094 of 6,421 by trust here, #1,095 by citations
• Computational Mechanics — 6 citations into it
• 3D Vision & Pose — 5 citations into it

Whom Henrik Aanæs trusts overall

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

1. Brian Curless
2. S. M. Seitz
3. Daniel Scharstein
4. Yasutaka Furukawa
5. Yuri Boykov
6. George Vogiatzis
7. Richard Szeliski
8. Shubao Liu
9. M. Kazhdan
10. Richard A. Newcombe

Who trusts Henrik Aanæs overall

1. Yao Yao
2. Zixin Luo
3. Zehao Yu
4. Qiancheng Fu
5. Jiayu Yang
6. Gangwei Xu
7. Rui Chen
8. Arno Knapitsch
9. Kai Zhang
10. Fangjinhua Wang

Papers from Henrik Aanæs's perspective

Ordered by how strongly the researchers Henrik Aanæs trusts endorse each paper. Same corpus, a different order for every researcher.

1. Distinctive Image Features from Scale-Invariant Keypoints
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
4. A volumetric method for building complex models from range images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Poisson surface reconstruction
7. ImageNet classification with deep convolutional neural networks
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Large Scale Multi-view Stereopsis Evaluation (2014) — 1,030 citations
• Large-Scale Data for Multiple-View Stereopsis (2016) — 758 citations