Timothée Darcet

Computer Vision and Pattern Recognition · 2023–2025

A researcher in the Science corpus: 3 papers; trusts 127 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 121 citations into it
• Artificial Intelligence — 96 citations into it
• Representation & Self-Supervised Learning — 45 citations into it
• Model Architectures — 20 citations into it
• Aerospace Engineering — 8 citations into it

Whom Timothée Darcet trusts overall

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

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

Who trusts Timothée Darcet overall

1. Wenlong Huang
2. Zach Nussbaum
3. Brandon Duderstadt
4. Chen Wang
5. Nikita Karaev

Papers from Timothée Darcet's perspective

Ordered by how strongly the researchers Timothée Darcet 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. 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. 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

• DINOv2: Learning Robust Visual Features without Supervision (2023) — 9,372 citations
• Vision Transformers Need Registers (2023) — 917 citations
• DINOv3 (2025) — 1,140 citations