Raphael Braun

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• 3D Vision & Pose — 13 citations into it

Whom Raphael Braun trusts overall

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

1. Johannes L. Schönberger
2. Diederik P. Kingma
3. M. Kazhdan
4. Jimmy Ba
5. Zhengqin Li
6. Jonathan T. Barron
7. Qian-Yi Zhou
8. Jan-Michael Frahm

Who trusts Raphael Braun overall

1. Antoine Guédon
2. Sosuke Kobayashi
3. Michael Oechsle

Papers from Raphael Braun's perspective

Ordered by how strongly the researchers Raphael Braun 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• NeRD: Neural Reflectance Decomposition from Image Collections (2020) — 627 citations