Y. Yabansu

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Mechanics of Materials — 21 citations into it
• Artificial Intelligence — 13 citations into it
• Model Architectures — 10 citations into it
• Optimization & Training — 5 citations into it

Whom Y. Yabansu trusts overall

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

1. Geoffrey E. Hinton
2. Xavier Glorot
3. Yoshua Bengio
4. Alex Krizhevsky
5. Yann LeCun
6. Christian Szegedy
7. Matthew D. Zeiler
8. Sergey Ioffe
9. Kaiming He
10. Vinod Nair

Who trusts Y. Yabansu overall

1. Rohit Batra
2. Surya R. Kalidindi
3. Jitesh H. Panchal
4. S. Niezgoda
5. Noah H. Paulson
6. Zhenze Yang
7. Akash Gupta
8. Le Song

Papers from Y. Yabansu's perspective

Ordered by how strongly the researchers Y. Yabansu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. GENERATIVE ADVERSARIAL NETS
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Understanding and visualizing microstructure and microstructure variance as a stochastic process (2011) — 145 citations
• Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets (2018) — 343 citations
• Material structure-property linkages using three-dimensional convolutional neural networks (2018) — 299 citations
• Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches (2019) — 170 citations