Andrés F. Pérez

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 71 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Multimodal Learning — 15 citations into it
• Signal Processing — 15 citations into it
• Artificial Intelligence — 13 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Andrés F. Pérez trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Yann LeCun
5. Andrew Zisserman
6. Yoshua Bengio
7. Antonio Torralba
8. Sergey Ioffe
9. Alex Krizhevsky
10. Christian Szegedy

Who trusts Andrés F. Pérez overall

1. Jianping Gou
2. Arda Senocak
3. Baosheng Yu
4. Tae-Hyun Oh

Papers from Andrés F. Pérez's perspective

Ordered by how strongly the researchers Andrés F. 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. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Audio-Visual Model Distillation Using Acoustic Images (2019) — 31 citations