Andrea Maracani
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 203 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 37 citations into it; #16,406 of 21,575 by trust here, #14,822 by citations
- Artificial Intelligence — 28 citations into it; #26,785 of 35,345 by trust here, #22,463 by citations
- Meta & Continual Learning — 11 citations into it; #837 of 1,041 by trust here, #808 by citations
- Representation & Self-Supervised Learning — 6 citations into it
- Model Architectures — 5 citations into it
Whom Andrea Maracani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Umberto Michieli
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Yoshua Bengio
- Karen Simonyan
- Yann LeCun
- Diederik P. Kingma
- Jia Deng
Who trusts Andrea Maracani overall
- Fabio Cermelli
- Mathieu Pagé Fortin
- Youngmin Oh
- Liyuan Wang
- Pei-Hung Chen
- Jianqiang Xiao
- Guanglei Yang
- Chang-Bin Zhang
- Brahim Chaib-draa
- Matthieu Cord
Papers from Andrea Maracani's perspective
Ordered by how strongly the researchers Andrea Maracani trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- RECALL: Replay-based Continual Learning in Semantic Segmentation (2021) — 157 citations