Miquel Perelló Nieto
Computer Vision and Pattern Recognition · 2015
A researcher in the Science corpus: 1 paper; trusts 834 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 51 citations into it
- Model Architectures — 25 citations into it
- Artificial Intelligence — 17 citations into it
- Evaluation & Benchmarks — 11 citations into it
- Optimization & Training — 11 citations into it
- Probabilistic & Bayesian Methods — 9 citations into it
- Natural Language Processing — 7 citations into it
- Signal Processing — 6 citations into it
Whom Miquel Perelló Nieto trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yann LeCun
- Alex Krizhevsky
- Yoshua Bengio
- Peter S. Dayan
- Ilya Sutskever
- James Martens
- Kaiming He
- John J. Hopfield
- Krystian Mikolajczyk
Who trusts Miquel Perelló Nieto overall
Papers from Miquel Perelló Nieto's perspective
Ordered by how strongly the researchers Miquel Perelló Nieto 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images