Tolga Cukur

Computer Vision and Pattern Recognition · 2013–2021

A researcher in the Science corpus: 4 papers; trusts 134 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 64 citations into it
• Artificial Intelligence — 40 citations into it
• Generative Models — 21 citations into it
• Natural Language Processing — 14 citations into it
• Model Architectures — 11 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Cognitive Neuroscience — 10 citations into it; #7,300 of 10,852 by trust here, #6,902 by citations
• Media Technology — 9 citations into it

Whom Tolga Cukur trusts overall

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

1. Diederik P. Kingma
2. Yoav Benjamini
3. Maurizio Corbetta
4. Kaiming He
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yoshua Bengio
8. Kendrick Norris Kay
9. Jimmy Ba
10. F. Li

Who trusts Tolga Cukur overall

1. Elias H. Cohen
2. Gary Lupyan
3. Peng Qian
4. Demis Hassabis
5. Frank Tong
6. Xipeng Qiu
7. Dharshan Kumaran

Papers from Tolga Cukur's perspective

Ordered by how strongly the researchers Tolga Cukur 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. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis (2021) — 556 citations
• Image Synthesis in Multi-Contrast MRI With Conditional Generative Adversarial Networks (2018) — 581 citations
• Semantic Structure and Interpretability of Word Embeddings (2017) — 118 citations
• Attention During Natural Vision Warps Semantic Representation Across the Human Brain (2013) — 377 citations