Catherine Achard

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 68 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 16 citations into it

Whom Catherine Achard trusts overall

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

1. Adam Laud
2. Andrew Zisserman
3. João Carreira
4. Fabian Caba Heilbron
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Karen Simonyan
9. Mark Everingham
10. Kaiming He

Papers from Catherine Achard's perspective

Ordered by how strongly the researchers Catherine Achard 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos (2020) — 8 citations