Torben Teepe

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Biomedical Engineering — 11 citations into it

Whom Torben Teepe trusts overall

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

1. Shiqi Yu
2. Liang Wang
3. Leslie N. Smith
4. Tsung-Yi Lin
5. Sijie Yan
6. Tien-Ping Tan
7. Kaiming He
8. Ke Sun
9. Hanqing Chao
10. Yisheng Song

Papers from Torben Teepe's perspective

Ordered by how strongly the researchers Torben Teepe 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. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Gaitgraph: Graph Convolutional Network for Skeleton-Based Gait Recognition (2021) — 308 citations