Ruken Cakici

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 173 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 106 citations into it; #21,472 of 21,575 by trust here, #8,952 by citations
• Artificial Intelligence — 58 citations into it
• Multimodal Learning — 55 citations into it
• Natural Language Processing — 44 citations into it

Whom Ruken Cakici trusts overall

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

1. Geoffrey E. Hinton
2. David G. Lowe
3. Richard Socher
4. Alex Krizhevsky
5. Yoshua Bengio
6. Kaiming He
7. Diederik P. Kingma
8. Ilya Sutskever
9. Yann LeCun
10. Ross B. Girshick

Who trusts Ruken Cakici overall

1. Desmond Elliott
2. Emiel van Miltenburg
3. Albert Gatt
4. Herman Kamper

Papers from Ruken Cakici's perspective

Ordered by how strongly the researchers Ruken Cakici 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
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

• Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (2016) — 393 citations
• Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract) (2017) — 25 citations