Manuel Dahnert

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Aerospace Engineering — 26 citations into it
• 3D Vision & Pose — 17 citations into it
• Geology — 17 citations into it
• Computational Mechanics — 10 citations into it

Whom Manuel Dahnert trusts overall

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

1. Angela Dai
2. Radu Bogdan Rusu
3. Yu Xiang
4. Angel X. Chang
5. Brian Curless
6. Ross B. Girshick
7. Geoffrey E. Hinton
8. Richard A. Newcombe
9. Kaiming He
10. Alex Krizhevsky

Who trusts Manuel Dahnert overall

1. Anh-Quan Cao
2. Zhengqin Li
3. Heng Yang
4. Fei Xia

Papers from Manuel Dahnert's perspective

Ordered by how strongly the researchers Manuel Dahnert 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Et al
6. Gradient-based learning applied to document recognition
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. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Scan2CAD: Learning CAD Model Alignment in RGB-D Scans (2018) — 284 citations