Ian Cherabier

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Aerospace Engineering — 11 citations into it
• Computer Graphics and Computer-Aided Design — 6 citations into it

Whom Ian Cherabier trusts overall

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

1. Christian Häne
2. Christopher Zach
3. Samuli Laine
4. Andreas Geiger
5. Matthias Nießner
6. Patrick Labatut
7. Abhijit Kundu
8. Marc Pollefeys
9. Tero Karras
10. Vibhav Vineet

Who trusts Ian Cherabier overall

1. Angela Dai

Papers from Ian Cherabier's perspective

Ordered by how strongly the researchers Ian Cherabier trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Multi-Label Semantic 3D Reconstruction Using Voxel Blocks (2016) — 50 citations