Juan Pérez

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 103 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #20,380 of 21,575 by trust here, #14,151 by citations
• Artificial Intelligence — 13 citations into it; #33,285 of 35,345 by trust here, #21,316 by citations
• Model Architectures — 6 citations into it

Whom Juan Pérez trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Sepp Hochreiter
5. Alex Krizhevsky
6. Kaiming He
7. Yoshua Bengio
8. Andrew Zisserman
9. Yann LeCun
10. Jimmy Ba

Who trusts Juan Pérez overall

1. Henghui Ding
2. Chang Liu
3. Seonguk Seo

Papers from Juan Pérez's perspective

Ordered by how strongly the researchers Juan Pérez 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Dynamic Multimodal Instance Segmentation guided by natural language queries (2018) — 201 citations