José M. Fácil

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Aerospace Engineering — 10 citations into it

Whom José M. Fácil trusts overall

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

1. Raul Mur-Artal
2. Kaiming He
3. Andreas Geiger
4. Juan D. Tardós
5. Ross B. Girshick
6. Deepak Pathak
7. Jürgen Sturm
8. Wei Tan

Who trusts José M. Fácil overall

1. Xieyuanli Chen
2. Emanuele Palazzolo

Papers from José M. Fácil's perspective

Ordered by how strongly the researchers José M. Fácil 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. Microsoft COCO: Common Objects in Context
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• DynaSLAM: Tracking, Mapping, and Inpainting in Dynamic Scenes (2018) — 1,214 citations