Quentin Duval

Computer Vision and Pattern Recognition · 2022–2024

A researcher in the Science corpus: 3 papers; trusts 257 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 166 citations into it
• Artificial Intelligence — 123 citations into it
• Representation & Self-Supervised Learning — 92 citations into it

Whom Quentin Duval trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Yann LeCun
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Karen Simonyan
10. Andrew Zisserman

Papers from Quentin Duval's perspective

Ordered by how strongly the researchers Quentin Duval 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. Going deeper with convolutions

Their papers

• Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture (2023) — 1,029 citations
• Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision (2022) — 125 citations
• Movie Gen: A Cast of Media Foundation Models (2024) — 592 citations