Matthijs C. Dorst

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 3,384 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it; #603 of 21,575 by trust here, #4,245 by citations

Whom Matthijs C. Dorst trusts overall

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

1. David G. Lowe
2. Jan J. Koenderink
3. Christopher Evans
4. Tony Lindeberg
5. Krystian Mikolajczyk
6. Matthew A. Brown
7. Cordelia Schmid
8. Jiri Matas
9. Andrew Zisserman
10. Geoffrey E. Hinton

Who trusts Matthijs C. Dorst overall

1. Sara Alexandra Gomes Vicente
2. Chen Sun
3. C. V. Jawahar
4. Christian Beecks
5. Lingxi Xie
6. Ali Ayub
7. Artem Babenko
8. Yichuan Tang
9. Alessandro Bergamo
10. Kaiming He

Papers from Matthijs C. Dorst's perspective

Ordered by how strongly the researchers Matthijs C. Dorst 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. Distinctive Image Features from Scale-Invariant Keypoints
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Distinctive Image Features from Scale-Invariant Keypoints Abstract by Matthijs Dorst Based on the paper by (2011) — 11,848 citations