Simone Palazzo

Computer Vision and Pattern Recognition · 2013–2022

A researcher in the Science corpus: 7 papers; trusts 346 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 146 citations into it; #18,425 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 104 citations into it
• Meta & Continual Learning — 40 citations into it
• Representation & Self-Supervised Learning — 38 citations into it
• Model Architectures — 19 citations into it
• Reinforcement Learning — 12 citations into it
• Media Technology — 10 citations into it

Whom Simone Palazzo trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Kaiming He
5. Yoshua Bengio
6. Yann LeCun
7. Andrew Zisserman
8. Ilya Sutskever
9. Diederik P. Kingma
10. Christian Szegedy

Who trusts Simone Palazzo overall

1. Thierry Bouwmans
2. Massimo Minervini

Papers from Simone Palazzo's perspective

Ordered by how strongly the researchers Simone Palazzo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Learning Human Mind for Automated Visual Classification (2016) — 314 citations
• Transfer without Forgetting (2022) — 74 citations
• Effects of Auxiliary Knowledge on Continual Learning (2022) — 9 citations
• MASK-RL: Multiagent Video Object Segmentation Framework Through Reinforcement Learning (2020) — 25 citations
• Deep learning for automated skeletal bone age assessment in X‐ray images (2017) — 394 citations
• Nonparametric label propagation using mutual local similarity in nearest neighbors (2015) — 7 citations
• An innovative web-based collaborative platform for video annotation (2013) — 106 citations