Robert Marti
Computer Vision and Pattern Recognition · 2007–2018
A researcher in the Science corpus: 4 papers; trusts 380 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 142 citations into it
- Artificial Intelligence — 73 citations into it
- Radiology, Nuclear Medicine and Imaging — 25 citations into it
- Optimization & Training — 24 citations into it
- Media Technology — 14 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Signal Processing — 9 citations into it
- Evaluation & Benchmarks — 7 citations into it
Whom Robert Marti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yann LeCun
- Yoshua Bengio
- Alex Krizhevsky
- Kaiming He
- Andrew Zisserman
- Diederik P. Kingma
- Ilya Sutskever
- Karen Simonyan
- Antonio Torralba
Who trusts Robert Marti overall
Papers from Robert Marti's perspective
Ordered by how strongly the researchers Robert Marti trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Which is the best way to organize/classify images by content? (2007) — 297 citations
- Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks (2018) — 903 citations
- Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review (2017) — 385 citations
- Computer-Aided Detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: A review (2015) — 368 citations