Ertunç Erdil

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 122 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Artificial Intelligence — 36 citations into it; #31,808 of 35,345 by trust here, #25,040 by citations
• Representation & Self-Supervised Learning — 32 citations into it
• Generative Models — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Ertunç Erdil trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Kaiming He
5. Yoshua Bengio
6. Sergey Ioffe
7. Yann LeCun
8. Ross B. Girshick
9. Christian Szegedy
10. Jimmy Ba

Who trusts Ertunç Erdil overall

1. Mingxia Liu

Papers from Ertunç Erdil's perspective

Ordered by how strongly the researchers Ertunç Erdil 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Contrastive learning of global and local features for medical image segmentation with limited annotations (2020) — 697 citations