Andrew Sohn

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it

Whom Andrew Sohn trusts

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

1. Zhuowen Tu (in Computer Vision and Pattern Recognition)
2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
3. Saining Xie (in Computer Vision and Pattern Recognition)
4. Ross B. Girshick (in Computer Vision and Pattern Recognition)
5. Jitendra Malik (in Computer Vision and Pattern Recognition)
6. Kaiming He (in Computer Vision and Pattern Recognition)
7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
8. Karen Simonyan (in Computer Vision and Pattern Recognition)
9. Trevor Darrell (in Computer Vision and Pattern Recognition)

Papers from Andrew Sohn's perspective

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

1. Fully convolutional networks for semantic segmentation
2. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
3. Learning Hierarchical Features for Scene Labeling
4. Deeply-Supervised Nets
5. Holistically-Nested Edge Detection
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
9. Gradient-based learning applied to document recognition
10. Efficient Graph-Based Image Segmentation

Their papers

• Spatial aggregation of holistically‐nested convolutional neural networks for automated pancreas localization and segmentation☆ (2017) — 300 citations