Fabio Cuzzolin
Computer Vision and Pattern Recognition · with Saha · 2008–2022
A researcher in the Science corpus: 8 papers; trusts 1,065 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 182 citations into it; #10,416 of 21,575 by trust here, #8,952 by citations
- Artificial Intelligence — 122 citations into it; #19,598 of 35,345 by trust here, #13,353 by citations
- Meta & Continual Learning — 30 citations into it
- Representation & Self-Supervised Learning — 24 citations into it
- Evaluation & Benchmarks — 17 citations into it
- Human-Computer Interaction — 14 citations into it
- Biomedical Engineering — 13 citations into it
- Model Architectures — 11 citations into it
Whom Fabio Cuzzolin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Ross B. Girshick
- Kaiming He
- Geoffrey E. Hinton
- Diederik P. Kingma
- Andrew Zisserman
- Karen Simonyan
- Cordelia Schmid
- Ivan Laptev
- Yoshua Bengio
Who trusts Fabio Cuzzolin overall
Papers from Fabio Cuzzolin's perspective
Ordered by how strongly the researchers Fabio Cuzzolin trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction (2016) — 306 citations
- AMTnet: Action-Micro-Tube Regression by End-to-end Trainable Deep Architecture (2017) — 73 citations
- Avalanche: an End-to-End Library for Continual Learning (2021) — 219 citations
- Feature sampling and partitioning for visual vocabulary generation on large action classification datasets (2014) — 20 citations
- Semantics-Driven Generative Replay for Few-Shot Class Incremental Learning (2022) — 42 citations
- Online Action Recognition via Nonparametric Incremental Learning (2014) — 20 citations
- 3D Activity Recognition Using Motion History and Binary Shape Templates (2014) — 15 citations
- A Lattice-Theoretic Interpretation of Independence of Frames (2008)