Lauren E. Welbourne

Computer Vision and Pattern Recognition · 2017

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
• Cognitive Neuroscience — 11 citations into it

Whom Lauren E. Welbourne trusts overall

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

1. Jeremy M. Wolfe

Papers from Lauren E. Welbourne's perspective

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

1. Microsoft COCO: Common Objects in Context
2. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
3. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
4. YOLO9000: Better, Faster, Stronger
5. Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors
6. Scene perception: detecting and judging objects undergoing relational violations.
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. The effects of contextual scenes on the identification of objects
10. Visual search (Current Biology)

Their papers

• Humans, but Not Deep Neural Networks, Often Miss Giant Targets in Scenes. (2017) — 80 citations