Lucas C. Uzal

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Generative Models — 14 citations into it
• Artificial Intelligence — 10 citations into it

Whom Lucas C. Uzal trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ian J. Goodfellow
4. Yann LeCun
5. Yoshua Bengio
6. Matthew D. Zeiler
7. Budiman Minasny
8. Adam Coates
9. Ilya Sutskever
10. Nitish Srivastava

Who trusts Lucas C. Uzal overall

1. Andreas Kamilaris
2. Muhammad Hammad Saleem
3. Boukaye Boubacar Traore
4. Francesc X. Prenafeta-Boldu
5. Sue Han Lee
6. Konstantinos G. Liakos

Papers from Lucas C. Uzal's perspective

Ordered by how strongly the researchers Lucas C. Uzal 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. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
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

• Class-Splitting Generative Adversarial Networks (2017) — 35 citations
• Deep learning for plant identification using vein morphological patterns (2016) — 559 citations