Teddy Furon

Computer Vision and Pattern Recognition · with Amsaleg · 2015–2023

A researcher in the Science corpus: 2 papers; trusts 84 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it
• Generative Models — 32 citations into it

Whom Teddy Furon trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Prafulla Dhariwal
5. Yoshua Bengio
6. Kaiming He
7. Alex Nichol
8. Yann LeCun
9. Josh Tenenbaum
10. Sam T. Roweis

Papers from Teddy Furon's perspective

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

Their papers

• Estimating Local Intrinsic Dimensionality (2015) — 168 citations
• The Stable Signature: Rooting Watermarks in Latent Diffusion Models (2023) — 417 citations