Susanna Ricco
Computer Vision and Pattern Recognition · 2017–2021
A researcher in the Science corpus: 3 papers; trusts 253 researchers and is trusted by 103 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 89 citations into it; #3,254 of 21,575 by trust here, #3,786 by citations
- Artificial Intelligence — 41 citations into it; #26,918 of 35,345 by trust here, #7,062 by citations
- Aerospace Engineering — 8 citations into it; #6,067 of 6,421 by trust here, #1,738 by citations
- Representation & Self-Supervised Learning — 8 citations into it
Whom Susanna Ricco trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nitish Srivastava
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Ross B. Girshick
- Jitendra Malik
- Karen Simonyan
- Andrew Zisserman
- Diederik P. Kingma
- Yann LeCun
Who trusts Susanna Ricco overall
- Hsiao-Yu Fish Tung
- Zachary Teed
- X. Wang
- Yuliang Zou
- Klaus Greff
- Clément Godard
- Muhamad Risqi U. Saputra
- Vikrant Goel
- Marvin Klingner
- Vincent Casser
Papers from Susanna Ricco's perspective
Ordered by how strongly the researchers Susanna Ricco 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions (2017) — 1,208 citations
- SfM-Net: Learning of Structure and Motion from Video (2017) — 465 citations
- A Step Toward More Inclusive People Annotations for Fairness (2021) — 74 citations