Mauricio Perez

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 188 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 103 citations into it
• Artificial Intelligence — 49 citations into it
• Biomedical Engineering — 39 citations into it
• Human-Computer Interaction — 30 citations into it
• Model Architectures — 11 citations into it

Whom Mauricio Perez trusts overall

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

1. Jun Liu
2. Karen Simonyan
3. Amir Shahroudy
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Alex Krizhevsky
7. Yoshua Bengio
8. Kaiming He
9. Alex Graves
10. Ilya Sutskever

Papers from Mauricio Perez's perspective

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

Their papers

• NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding (2019) — 1,730 citations