Xavier Binefa

Computer Vision and Pattern Recognition · 2010–2019

A researcher in the Science corpus: 2 papers; trusts 67 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #12,174 of 21,575 by trust here, #12,172 by citations
• Generative Models — 25 citations into it
• Artificial Intelligence — 19 citations into it; #30,776 of 35,345 by trust here, #30,347 by citations

Whom Xavier Binefa trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Yann LeCun
5. Alex Krizhevsky
6. Danilo Jimenez Rezende
7. Jimmy Ba
8. Ilya Sutskever
9. Kaiming He
10. Michaël Mathieu

Who trusts Xavier Binefa overall

1. Xudong Cao
2. Kien Do
3. Francesco Locatello

Papers from Xavier Binefa's perspective

Ordered by how strongly the researchers Xavier Binefa 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Facial point detection using boosted regression and graph models (2010) — 351 citations
• Learning Disentangled Representations with Reference-Based Variational Autoencoders (2019) — 27 citations