Anders Bjorholm Dahl
Computer Vision and Pattern Recognition · 2014–2019
A researcher in the Science corpus: 5 papers; trusts 23 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 47 citations into it; #9,713 of 21,575 by trust here, #6,671 by citations
- Computer Graphics and Computer-Aided Design — 12 citations into it
- Aerospace Engineering — 8 citations into it; #2,093 of 6,421 by trust here, #1,095 by citations
- Computational Mechanics — 8 citations into it
- 3D Vision & Pose — 5 citations into it
Whom Anders Bjorholm Dahl trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yasutaka Furukawa
- Brian Curless
- S. M. Seitz
- M. Kazhdan
- George Vogiatzis
- Richard A. Newcombe
- Daniel Scharstein
- Richard Szeliski
Who trusts Anders Bjorholm Dahl overall
- Silvano Galliani
- Andreas Geiger
- Lior Yariv
- Songyou Peng
- Jiawei Yang
- Michael Niemeyer
- Michael Oechsle
- Anpei Chen
- Ajay Jain
- Zehao Yu
Papers from Anders Bjorholm Dahl's perspective
Ordered by how strongly the researchers Anders Bjorholm Dahl trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet Large Scale Visual Recognition Challenge
- A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- A volumetric method for building complex models from range images
- Poisson surface reconstruction
- Fully convolutional networks for semantic segmentation
- Microsoft COCO: Common Objects in Context
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Distinctive Image Features from Scale-Invariant Keypoints
Their papers
- Large Scale Multi-view Stereopsis Evaluation (2014) — 1,030 citations
- Large-Scale Data for Multiple-View Stereopsis (2016) — 758 citations
- Assessment of algorithms for mitosis detection in breast cancer histopathology images (2014) — 464 citations
- From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge (2019) — 709 citations
- Individual fibre segmentation from 3D X-ray computed tomography for characterising the fibre orientation in unidirectional composite materials (2017) — 183 citations