À. Vinacua

Geology · 2018

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

• Geology — 14 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it

Whom À. Vinacua trusts overall

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

1. Angela Dai
2. Emanuel Parzen
3. Rémi Bardenet
4. Yiru Shen

Papers from À. Vinacua's perspective

Ordered by how strongly the researchers À. Vinacua 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. Densely Connected Convolutional Networks
4. Gradient-based learning applied to document recognition
5. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
9. Attention is All you Need (Neural Information Processing Systems)
10. 3D ShapeNets: A deep representation for volumetric shapes

Their papers

• Monte Carlo convolution for learning on non-uniformly sampled point clouds (2018) — 282 citations