Roberto Arroyo

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 4 papers; trusts 615 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 107 citations into it; #9,555 of 21,575 by trust here, #7,584 by citations
• Artificial Intelligence — 52 citations into it; #18,113 of 35,345 by trust here, #13,544 by citations
• Aerospace Engineering — 26 citations into it
• Model Architectures — 17 citations into it
• Optimization & Training — 9 citations into it
• Media Technology — 7 citations into it; #3,262 of 3,621 by trust here, #2,178 by citations
• Environmental Engineering — 6 citations into it

Whom Roberto Arroyo trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Diederik P. Kingma
5. Karen Simonyan
6. Andrea Vedaldi
7. Yoshua Bengio
8. David G. Lowe
9. Andrew Zisserman
10. Ross B. Girshick

Who trusts Roberto Arroyo overall

1. Lei Tai
2. Elliot J. Crowley
3. Francesc Moreno-Noguer

Papers from Roberto Arroyo's perspective

Ordered by how strongly the researchers Roberto Arroyo 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation (2018) — 1,337 citations
• Efficient ConvNet for real-time semantic segmentation (2017) — 101 citations
• Fusion and binarization of CNN features for robust topological localization across seasons (2016) — 97 citations
• Street-view change detection with deconvolutional networks (2016) — 371 citations