Arnulf B. A. Graf

Computer Vision and Pattern Recognition · 2003–2009

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 220 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #2,568 of 21,575 by trust here, #10,905 by citations
• Artificial Intelligence — 6 citations into it; #23,504 of 35,345 by trust here, #31,361 by citations

Whom Arnulf B. A. Graf trusts overall

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

1. Leo Breiman
2. Vladimir Naumovich Vapni
3. Ian T. Jolliffe
4. Katherine L. Silversides
5. Yoav Freund
6. Sam T. Roweis
7. Daniel D. Lee
8. Marina Skurichina
9. Robert E. Schapire
10. Eleanor Rosch

Who trusts Arnulf B. A. Graf overall

1. Been Kim
2. Kristen Grauman
3. Oyebade Kayode Oyedotun
4. Trevor Darrell
5. Ashish Kapoor
6. Barbara Caputo
7. Adnan Khashman
8. Cynthia Rudin
9. Tatsuya Harada
10. David Grangier

Papers from Arnulf B. A. Graf's perspective

Ordered by how strongly the researchers Arnulf B. A. Graf trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. The Nature of Statistical Learning Theory
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. This PDF file includes: Materials and Methods
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Nonlinear dimensionality reduction by locally linear embedding.
8. Object recognition from local scale-invariant features
9. Going deeper with convolutions
10. Pattern Recognition and Machine Learning

Their papers

• Recognition with local features: the kernel recipe (2003) — 440 citations
• Prototype Classification: Insights from Machine Learning (2009) — 31 citations