Rubén Fernández-Beltran

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 61 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it
• Media Technology — 60 citations into it; #3,514 of 3,621 by trust here, #1,206 by citations
• Artificial Intelligence — 33 citations into it
• Atmospheric Science — 29 citations into it
• Model Architectures — 22 citations into it
• Analytical Chemistry — 12 citations into it
• Ecology — 10 citations into it

Whom Rubén Fernández-Beltran trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Karen Simonyan
4. Kaiming He
5. Diederik P. Kingma
6. Yoshua Bengio
7. Ilya Sutskever
8. Yann LeCun
9. Christian Szegedy
10. Andrew Zisserman

Who trusts Rubén Fernández-Beltran overall

1. Swalpa Kumar Roy
2. Vladan Stojnić
3. Wenyuan Li

Papers from Rubén Fernández-Beltran's perspective

Ordered by how strongly the researchers Rubén Fernández-Beltran trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Capsule Networks for Hyperspectral Image Classification (2019) — 311 citations
• Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast (2020) — 108 citations
• Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification (2019) — 428 citations