Marco Ciccone
Computer Vision and Pattern Recognition · 2015–2021
A researcher in the Science corpus: 3 papers; trusts 419 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 121 citations into it
- Artificial Intelligence — 104 citations into it
- Model Architectures — 41 citations into it
- Optimization & Training — 22 citations into it
- Meta & Continual Learning — 12 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
Whom Marco Ciccone trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Yann LeCun
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Alex Graves
- Ilya Sutskever
- Diederik P. Kingma
- J. Urgen Schmidhuber
- Ross B. Girshick
Who trusts Marco Ciccone overall
Papers from Marco Ciccone's perspective
Ordered by how strongly the researchers Marco Ciccone 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation (2015) — 267 citations
- NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations (2018) — 59 citations
- Incremental Learning in Semantic Segmentation from Image Labels (2021) — 69 citations