Juan Camilo Pérez

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Generative Models — 18 citations into it
• Statistical and Nonlinear Physics — 16 citations into it

Whom Juan Camilo Pérez trusts overall

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

1. Jonathan Ho
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Lawrence F. Shampine
6. Jascha Narain Sohl-Dickstein
7. Yoshua Bengio
8. Jia Deng
9. Yang Song
10. Cheng Lu

Papers from Juan Camilo Pérez's perspective

Ordered by how strongly the researchers Juan Camilo Pérez 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. ImageNet: A large-scale hierarchical image database
4. Learning Multiple Layers of Features from Tiny Images
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Bespoke Solvers for Generative Flow Models (2023) — 43 citations