Kathryn Koehler

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 Kathryn Koehler trusts overall

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

1. Jeremy M. Wolfe
2. Tsung-Yi Lin

Papers from Kathryn Koehler's perspective

Ordered by how strongly the researchers Kathryn Koehler 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. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

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