Chiara Plizzari

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 625 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 127 citations into it
• Artificial Intelligence — 84 citations into it
• Biomedical Engineering — 31 citations into it
• Model Architectures — 31 citations into it
• Human-Computer Interaction — 23 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Graph Learning — 18 citations into it
• Multimodal Learning — 11 citations into it

Whom Chiara Plizzari trusts overall

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

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

Who trusts Chiara Plizzari overall

1. Zhisheng Lu
2. Fadime Sener
3. Hong Liu
4. Dibyadip Chatterjee

Papers from Chiara Plizzari's perspective

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

Their papers

• PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition (2021)
• Spatial Temporal Transformer Network for Skeleton-based Action Recognition (2020) — 261 citations
• Cross-Domain First Person Audio-Visual Action Recognition through Relative Norm Alignment (2021) — 13 citations
• Skeleton-based action recognition via spatial and temporal transformer networks (2020) — 406 citations