Marco Cannici

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 261 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it
• Artificial Intelligence — 49 citations into it
• Biomedical Engineering — 31 citations into it
• Model Architectures — 27 citations into it
• Human-Computer Interaction — 22 citations into it
• Graph Learning — 18 citations into it
• 3D Vision & Pose — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Marco Cannici trusts overall

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

1. Sergey Ioffe
2. Geoffrey E. Hinton
3. Christian Szegedy
4. Yann LeCun
5. Alex Krizhevsky
6. Kaiming He
7. Karen Simonyan
8. Yoshua Bengio
9. Diederik P. Kingma
10. Ross B. Girshick

Who trusts Marco Cannici overall

1. Zhisheng Lu

Papers from Marco Cannici's perspective

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

Their papers

• Spatial Temporal Transformer Network for Skeleton-based Action Recognition (2020) — 261 citations
• Skeleton-based action recognition via spatial and temporal transformer networks (2020) — 406 citations