Joanne Hoffman

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it

Whom Joanne Hoffman trusts overall

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

1. Matthew D. Zeiler

Who trusts Joanne Hoffman overall

1. Kenji Suzuki

Papers from Joanne Hoffman's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Regularization of Neural Networks using DropConnect
3. Visualizing and Understanding Convolutional Networks
4. Visualizing and Understanding Convolutional Neural Networks
5. Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation
6. Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network
7. [New guidelines to evaluate the response to treatment in solid tumors]. (Bulletin du Cancer)
8. Gradient-based learning applied to document recognition
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations (2014) — 580 citations