Marco Esposito

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Model Architectures — 5 citations into it

Whom Marco Esposito trusts overall

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

1. Kaiming He

Papers from Marco Esposito's perspective

Ordered by how strongly the researchers Marco Esposito 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. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Fully convolutional networks for semantic segmentation
5. Gradient-based learning applied to document recognition
6. Visualizing and Understanding Convolutional Networks
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• CFCM: Segmentation via Coarse to Fine Context Memory (2018) — 50 citations