D. Dais

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 113 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Civil and Structural Engineering — 18 citations into it
• Artificial Intelligence — 11 citations into it
• Mechanical Engineering — 5 citations into it
• Model Architectures — 5 citations into it

Whom D. Dais trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Ross B. Girshick
4. Tsung-Yi Lin
5. Christian Szegedy
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Yoshua Bengio
9. Piotr Doll'ar
10. Yann LeCun

Papers from D. Dais's perspective

Ordered by how strongly the researchers D. Dais 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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 crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning (2021) — 366 citations