D. Rosen

Computational Mechanics · with Hua · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 33 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Geology — 22 citations into it
• Environmental Engineering — 8 citations into it

Whom D. Rosen trusts overall

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

1. Charles Ruizhongtai Qi
2. Hao Su
3. Geoffrey E. Hinton
4. Li Yi
5. Roman Klokov
6. Loic Landrieu

Papers from D. Rosen's perspective

Ordered by how strongly the researchers D. Rosen 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Rotation Invariant Convolutions for 3D Point Clouds Deep Learning (2019) — 199 citations