Carl Toft

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 88 citations into it
• Aerospace Engineering — 72 citations into it
• 3D Vision & Pose — 9 citations into it

Whom Carl Toft trusts overall

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

1. David G. Lowe
2. Andrew Zisserman
3. Josef Sivic
4. Karen Simonyan
5. Relja Arandjelovi'c
6. Torsten Sattler
7. Diederik P. Kingma
8. Geoffrey E. Hinton
9. Alex Kendall
10. Alex Krizhevsky

Papers from Carl Toft's perspective

Ordered by how strongly the researchers Carl Toft 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Distinctive Image Features from Scale-Invariant Keypoints
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions (2018) — 770 citations
• Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (2021) — 331 citations