Burak Uzkent

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 210 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 58 citations into it
• Artificial Intelligence — 34 citations into it
• Representation & Self-Supervised Learning — 22 citations into it
• Generative Models — 11 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Burak Uzkent trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Alex Krizhevsky
5. Yoshua Bengio
6. Diederik P. Kingma
7. Yann LeCun
8. Nitish Srivastava
9. Jia Deng
10. Ilya Sutskever

Who trusts Burak Uzkent overall

1. Vladan Stojnić

Papers from Burak Uzkent's perspective

Ordered by how strongly the researchers Burak Uzkent 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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

• Geography-Aware Self-Supervised Learning (2020) — 317 citations
• Negative Data Augmentation (2021) — 83 citations