Brandon K. Fornwalt

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it

Whom Brandon K. Fornwalt trusts overall

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

1. Ross B. Girshick

Who trusts Brandon K. Fornwalt overall

1. Jiamin Yin

Papers from Brandon K. Fornwalt's perspective

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

1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
2. ImageNet classification with deep convolutional neural networks
3. Fully convolutional networks for semantic segmentation
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Caffe: Convolutional Architecture for Fast Feature Embedding
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. ImageNet: A large-scale hierarchical image database
10. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)

Their papers

• Interpretable Neural Networks for Predicting Mortality Risk using Multi-modal Electronic Health Records (2019) — 3 citations
• Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration (2018) — 401 citations