Jeffrey K. Jopling

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it

Whom Jeffrey K. Jopling trusts overall

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

1. Ross B. Girshick
2. Alex Krizhevsky

Papers from Jeffrey K. Jopling's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. ImageNet Large Scale Visual Recognition Challenge
3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Fast R-CNN
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks (2018) — 309 citations
• Identifying Distinct Subgroups of Intensive Care Unit Patients: a Machine Learning Approach (2017) — 82 citations