Tim Wengefeld

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it

Whom Tim Wengefeld trusts overall

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

1. Kaiming He
2. Liang-Chieh Chen
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Rob Fergus

Papers from Tim Wengefeld's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. ImageNet Large Scale Visual Recognition Challenge
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis (2020) — 316 citations