Marco Bellantonio

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 63 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it
• Model Architectures — 17 citations into it

Whom Marco Bellantonio trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Yoshua Bengio
5. Andrew Zisserman
6. Karen Simonyan
7. Ross B. Girshick
8. Cordelia Schmid
9. Limin Wang
10. Yann LeCun

Papers from Marco Bellantonio's perspective

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

Their papers

• A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences (2017) — 167 citations