Eu Wern Teh

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 211 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 23 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Model Architectures — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Eu Wern Teh trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yann LeCun
5. Yoshua Bengio
6. Alex Krizhevsky
7. X. Zhang
8. Jimmy Ba
9. Shaoqing Ren
10. Ross B. Girshick

Who trusts Eu Wern Teh overall

1. Hugo Touvron
2. Timo Milbich
3. Jasmine Collins
4. Alexandre Sablayrolles
5. Karsten Roth

Papers from Eu Wern Teh's perspective

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

Their papers

• ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis (2020) — 196 citations
• Metric Learning for Patch Classification in Digital Pathology (2019) — 12 citations