Nicholas Sharp

Computational Mechanics · 2020

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 36 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Computer Graphics and Computer-Aided Design — 14 citations into it
• Geology — 13 citations into it
• Artificial Intelligence — 12 citations into it
• 3D Vision & Pose — 9 citations into it
• Aerospace Engineering — 9 citations into it
• Model Architectures — 7 citations into it

Whom Nicholas Sharp trusts overall

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

1. Charles Ruizhongtai Qi
2. Kaiming He
3. Bruno Lévy
4. Geoffrey E. Hinton
5. Davide Boscaini
6. Yann LeCun
7. Jonathan Masci
8. Alex Krizhevsky
9. Joan Bruna
10. M. Ovsjanikov

Who trusts Nicholas Sharp overall

1. Yuyang Wang

Papers from Nicholas Sharp's perspective

Ordered by how strongly the researchers Nicholas Sharp 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• DiffusionNet: Discretization Agnostic Learning on Surfaces (2020) — 312 citations