Keith M. Chugg

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 20 citations into it
• Model Architectures — 6 citations into it

Whom Keith M. Chugg trusts overall

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

1. Alex Krizhevsky
2. Christian Szegedy
3. Kaiming He
4. Karen Simonyan
5. Ross B. Girshick
6. Geoffrey E. Hinton
7. Andrew Zisserman

Papers from Keith M. Chugg's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Going deeper with convolutions
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. ImageNet: A large-scale hierarchical image database

Their papers

• Pre-Defined Sparsity for Low-Complexity Convolutional Neural Networks (2020) — 37 citations