Curtis Wigington

Artificial Intelligence · 2020

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

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it

Whom Curtis Wigington trusts

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

1. Nikos Komodakis (in Computer Vision and Pattern Recognition)
2. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
3. Terrance E. Boult (in Artificial Intelligence)

Papers from Curtis Wigington's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Reading Digits in Natural Images with Unsupervised Feature Learning
5. Wide Residual Networks
6. Unsupervised Visual Representation Learning by Context Prediction
7. Visualizing Data using t-SNE
8. Gradient-based learning applied to document recognition
9. Unsupervised Representation Learning by Predicting Image Rotations
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Generative-Discriminative Feature Representations for Open-Set Recognition (2020) — 220 citations