Lida Theodorou

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it
• Human-Computer Interaction — 15 citations into it
• Cognitive Neuroscience — 11 citations into it

Whom Lida Theodorou trusts overall

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

1. Hernisa Kacorri
2. Kaiming He
3. Geoffrey E. Hinton
4. Kyungjun Lee
5. Alex Krizhevsky
6. Diederik P. Kingma
7. James Requeima
8. Yoshua Bengio
9. Ilya Sutskever
10. Yann LeCun

Who trusts Lida Theodorou overall

1. Mina Lee
2. Daniela Massiceti

Papers from Lida Theodorou's perspective

Ordered by how strongly the researchers Lida Theodorou 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. ImageNet: A large-scale hierarchical image database
4. ImageNet Large Scale Visual Recognition Challenge
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors (2021) — 50 citations
• ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition (2021) — 55 citations