Tuomas Kynkaanniemi

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 220 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 79 citations into it
• Generative Models — 68 citations into it
• Artificial Intelligence — 33 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it
• Statistical and Nonlinear Physics — 9 citations into it
• Media Technology — 8 citations into it
• Computer Graphics and Computer-Aided Design — 6 citations into it

Whom Tuomas Kynkaanniemi trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Karen Simonyan
5. Alex Krizhevsky
6. Tero Karras
7. Yoshua Bengio
8. Christian Szegedy
9. Yann LeCun
10. Ilya Sutskever

Who trusts Tuomas Kynkaanniemi overall

1. Axel Sauer
2. Gaurav Parmar
3. Yang Song
4. Tero Karras
5. Richard Zhang
6. Prafulla Dhariwal
7. Tengfei Wang
8. William S. Peebles
9. Huiwen Chang
10. Terrance Devries

Papers from Tuomas Kynkaanniemi's perspective

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

Their papers

• The Role of ImageNet Classes in Fréchet Inception Distance (2022) — 295 citations
• Improved Precision and Recall Metric for Assessing Generative Models (2019) — 1,312 citations