Gabriel Maicas

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it

Whom Gabriel Maicas trusts overall

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

1. Kaiming He
2. Juan C. Caicedo
3. Shaoqing Ren
4. Svetlana Lazebnik
5. X. Zhang
6. Florin C. Ghesu
7. Volodymyr Mnih
8. Ross B. Girshick
9. Geoffrey E. Hinton
10. Alex Krizhevsky

Who trusts Gabriel Maicas overall

1. Walid Abdullah Al
2. Chao Yu
3. Il Dong Yun
4. Jiming Liu

Papers from Gabriel Maicas's perspective

Ordered by how strongly the researchers Gabriel Maicas 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. ImageNet Large Scale Visual Recognition Challenge
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Going deeper with convolutions
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI (2017) — 109 citations