Fernando Pérez-García
Computer Vision and Pattern Recognition · 2020–2023
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 56 citations into it
- Artificial Intelligence — 53 citations into it
- Model Architectures — 8 citations into it
- Optimization & Training — 6 citations into it
Whom Fernando Pérez-García trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sergey Ioffe
- Jia Deng
- Christian Szegedy
- Geoffrey E. Hinton
- Tianqi Chen
- Marc Modat
- Bradley C. Lowekamp
- Alex Krizhevsky
- Fabian Isensee
- Alexander V. Buslaev
Who trusts Fernando Pérez-García overall
Papers from Fernando Pérez-García's perspective
Ordered by how strongly the researchers Fernando Pérez-García 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge