Tadas Baltruvsaitis

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 — 36 citations into it

Whom Tadas Baltruvsaitis trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Tadas Baltrusaitis
4. Erroll Wood
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Jimmy Ba
8. Volker Blanz
9. Tomas Simon
10. X. Zhang

Papers from Tadas Baltruvsaitis's perspective

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

Their papers

• Fake it till you make it: face analysis in the wild using synthetic data alone (2021) — 342 citations