Can Kanbak

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #8,550 of 21,575 by trust here, #14,151 by citations
• Artificial Intelligence — 12 citations into it; #13,032 of 35,345 by trust here, #21,316 by citations
• Safety, Robustness & Interpretability — 10 citations into it; #881 of 2,251 by trust here, #1,780 by citations

Whom Can Kanbak trusts overall

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

1. Alex Krizhevsky
2. Alhussein Fawzi
3. Kaiming He
4. Christian Szegedy
5. Ian J. Goodfellow
6. Geoffrey E. Hinton
7. Yann LeCun
8. Pascal Frossard
9. Ilya Sutskever
10. Yoshua Bengio

Who trusts Can Kanbak overall

1. Naveed Akhtar
2. Osman Semih Kayhan
3. Mahmood Sharif
4. A. Serban
5. Nathan Ng
6. Logan Engstrom
7. Jingfeng Zhang
8. Magdalini Paschali
9. Ajmal Saeed Mian
10. Jan van Gemert

Papers from Can Kanbak's perspective

Ordered by how strongly the researchers Can Kanbak 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Geometric Robustness of Deep Networks: Analysis and Improvement (2017) — 140 citations
• Measuring Robustness of Classifiers to Geometric Transformations (2017) — 5 citations