Breannan Smith

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 — 18 citations into it
• Control and Systems Engineering — 12 citations into it
• Computational Mechanics — 10 citations into it
• Computer Graphics and Computer-Aided Design — 10 citations into it

Whom Breannan Smith trusts overall

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

1. Emmanouil Z. Psarakis
2. Hang Si
3. Eftychios Sifakis
4. Joseph M. Teran
5. Olga Sorkine-Hornung
6. James C. Bezdek
7. Javier Romero
8. Silvano Galliani
9. Tomas Simon
10. Dimitrios Tzionas

Papers from Breannan Smith's perspective

Ordered by how strongly the researchers Breannan Smith 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
7. Microsoft COCO: Common Objects in Context
8. Distinctive Image Features from Scale-Invariant Keypoints
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Constraining dense hand surface tracking with elasticity (2020) — 77 citations