Fernando Herrera Arias
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it
- Aerospace Engineering — 25 citations into it
Whom Fernando Herrera Arias trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Fernando Herrera Arias's perspective
Ordered by how strongly the researchers Fernando Herrera Arias trusts endorse each paper. Same corpus, a different order for every researcher.
- Object recognition from local scale-invariant features
- ImageNet classification with deep convolutional neural networks
- Video Google: a text retrieval approach to object matching in videos
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Notes on the OpenSURF Library
- Distinctive Image Features from Scale-Invariant Keypoints
- Gradient-based learning applied to document recognition
- SLAM++: Simultaneous Localisation and Mapping at the Level of Objects
- Going deeper with convolutions
Their papers
- Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems (2021) — 305 citations