Hugo Germain

Computer Vision and Pattern Recognition · with Bochkovskiy · 2024

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 66 citations into it

Whom Hugo Germain trusts overall

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

1. René Ranftl

Papers from Hugo Germain's perspective

Ordered by how strongly the researchers Hugo Germain 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. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)

Their papers

• Depth Pro: Sharp Monocular Metric Depth in Less Than a Second (2024) — 514 citations