Pablo Fernández Alcantarilla

Computer Vision and Pattern Recognition · 2012–2020

A researcher in the Science corpus: 5 papers; trusts 761 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 127 citations into it; #6,101 of 21,575 by trust here, #8,409 by citations
• Aerospace Engineering — 37 citations into it
• Artificial Intelligence — 32 citations into it; #11,212 of 35,345 by trust here, #17,776 by citations
• Media Technology — 11 citations into it; #3,263 of 3,621 by trust here, #2,178 by citations
• Evaluation & Benchmarks — 10 citations into it
• Model Architectures — 7 citations into it
• Environmental Engineering — 6 citations into it
• Geology — 5 citations into it

Whom Pablo Fernández Alcantarilla trusts overall

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

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

Who trusts Pablo Fernández Alcantarilla overall

1. Shaharyar Ahmed Khan Tareen
2. Axel Barroso Laguna
3. Y. Ono
4. Francesc Moreno-Noguer
5. Zahra Saleem
6. Raul Mur-Artal
7. Eduard Trulls
8. Jiayi Ma
9. Huiyu Wang
10. Roberto Arroyo

Papers from Pablo Fernández Alcantarilla's perspective

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

Their papers

• KAZE Features (2012) — 1,316 citations
• Towards Bounding-Box Free Panoptic Segmentation (2020) — 11 citations
• Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces (2013) — 1,253 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