Daniel G. Aliaga

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it
• Aerospace Engineering — 20 citations into it

Whom Daniel G. Aliaga trusts overall

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

1. Yasutaka Furukawa
2. Jana Kosecka
3. Brian Curless
4. S. M. Seitz

Papers from Daniel G. Aliaga's perspective

Ordered by how strongly the researchers Daniel G. Aliaga 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. Distinctive Image Features from Scale-Invariant Keypoints
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Multiple View Geometry in Computer Vision
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Survey of Urban Reconstruction (2013) — 511 citations