Hugo Germain

Computer Vision and Pattern Recognition · with Larsson · 2021

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

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it

Whom Hugo Germain trusts overall

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

1. Alex Kendall

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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Distinctive Image Features from Scale-Invariant Keypoints
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet: A large-scale hierarchical image database
6. Going deeper with convolutions
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Gradient-based learning applied to document recognition
10. Aggregating local descriptors into a compact image representation

Their papers

• Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (2021) — 331 citations