Rasmus Ramsbøl Jensen
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; #9,712 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; #2,095 of 6,421 by trust here, #1,095 by citations
- Computational Mechanics — 6 citations into it
- 3D Vision & Pose — 5 citations into it
Whom Rasmus Ramsbøl Jensen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yasutaka Furukawa
- Brian Curless
- S. M. Seitz
- George Vogiatzis
- M. Kazhdan
- Richard A. Newcombe
- Daniel Scharstein
- Richard Szeliski
- Shubao Liu
- Yuri Boykov
Who trusts Rasmus Ramsbøl Jensen overall
- Silvano Galliani
- Andreas Geiger
- Lior Yariv
- Songyou Peng
- Jiawei Yang
- Michael Niemeyer
- Yao Yao
- Michael Oechsle
- Anpei Chen
- Zehao Yu
Papers from Rasmus Ramsbøl Jensen's perspective
Ordered by how strongly the researchers Rasmus Ramsbøl Jensen trusts endorse each paper. Same corpus, a different order for every researcher.
- Distinctive Image Features from Scale-Invariant Keypoints
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
- A volumetric method for building complex models from range images
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Poisson surface reconstruction
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Large Scale Multi-view Stereopsis Evaluation (2014) — 1,030 citations
- Large-Scale Data for Multiple-View Stereopsis (2016) — 758 citations