Daniel Barath
Computer Vision and Pattern Recognition · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 128 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 36 citations into it; #5,919 of 21,575 by trust here, #15,955 by citations
- Aerospace Engineering — 9 citations into it; #886 of 6,421 by trust here, #4,066 by citations
- Artificial Intelligence — 9 citations into it
- Environmental Engineering — 8 citations into it
Whom Daniel Barath trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ondřej Chum
- David G. Lowe
- Jiri Matas
- Philip H. S. Torr
- Hossam N. Isack
- Rahul Raguram
- Marius Muja
- Yuri Boykov
- Andrew Zisserman
- Kyle Wilson
Who trusts Daniel Barath overall
- Jiayi Ma
- Yuhe Jin
- Paul-Edouard Sarlin
- Xingyu Jiang
- Weiwei Sun
- Philipp Lindenberger
- Jana Noskova
- Jiri Matas
- Wei Jiang
- Dmytro Mishkin
Papers from Daniel Barath's perspective
Ordered by how strongly the researchers Daniel Barath trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
Their papers
- MAGSAC: Marginalizing Sample Consensus (2018) — 351 citations
- Graph-Cut RANSAC (2017) — 391 citations
- MAGSAC++, a Fast, Reliable and Accurate Robust Estimator (2019) — 363 citations