Antoine Toisoul

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 19 citations into it
• Model Architectures — 9 citations into it

Whom Antoine Toisoul trusts overall

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

1. Alex Krizhevsky
2. Christian Szegedy
3. Diederik P. Kingma
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Kaiming He
7. François Chollet
8. Yann LeCun
9. Andrew Zisserman
10. Jean Kossaifi

Papers from Antoine Toisoul's perspective

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

Their papers

• Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation (2019) — 89 citations