Lars Hammarstrand
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 Lars Hammarstrand trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Lars Hammarstrand's perspective
Ordered by how strongly the researchers Lars Hammarstrand trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Distinctive Image Features from Scale-Invariant Keypoints
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- 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