Daniel Queirós da Silva
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 112 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it
- Artificial Intelligence — 12 citations into it
- Model Architectures — 7 citations into it
Whom Daniel Queirós da Silva trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Alex Krizhevsky
- Christian Szegedy
- Geoffrey E. Hinton
- Sergey Ioffe
- Ilya Sutskever
- Karen Simonyan
- Shaoqing Ren
- X. Zhang
Papers from Daniel Queirós da Silva's perspective
Ordered by how strongly the researchers Daniel Queirós da Silva 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge