Necati Catbas

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Civil and Structural Engineering — 26 citations into it
• Media Technology — 8 citations into it
• Ocean Engineering — 6 citations into it

Whom Necati Catbas trusts overall

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

1. Dongming Feng
2. Bing Pan
3. Matthijs C. Dorst
4. Maria Qing Feng
5. M. Guizar‐Sicairos
6. Sattar Dorafshan
7. Hoang Nhat-Duc
8. Pan Bing
9. K. Gopalakrishnan
10. Huimin Xie

Papers from Necati Catbas's perspective

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

Their papers

• A review of computer vision–based structural health monitoring at local and global levels (2020) — 693 citations