Rafael Felix

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 160 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 21 citations into it; #18,392 of 35,345 by trust here, #20,377 by citations
• Radiology, Nuclear Medicine and Imaging — 8 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Rafael Felix trusts overall

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

1. Zeynep Akata
2. Geoffrey E. Hinton
3. Kaiming He
4. Yongqin Xian
5. Alex Krizhevsky
6. Yoshua Bengio
7. Andrew Zisserman
8. Richard Socher
9. Diederik P. Kingma
10. Andrew L. Maas

Who trusts Rafael Felix overall

1. Kun-Juan Wei
2. Mert Bulent Sariyildiz
3. Anjan Dutta
4. Vinay Kumar Verma
5. Yongqin Xian
6. Pravendra Singh
7. Zeynep Akata
8. Zhangxuan Gu
9. Sai Kumar Dwivedi
10. Cheng Deng

Papers from Rafael Felix's perspective

Ordered by how strongly the researchers Rafael Felix trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Multi-modal Cycle-consistent Generalized Zero-Shot Learning (2018) — 386 citations