Nicholas J. Butko

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it; #7,114 of 21,575 by trust here, #17,258 by citations

Whom Nicholas J. Butko trusts overall

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

1. Radford M. Neal
2. Jonathan Baxter
3. Christoph H. Lampert
4. Peter L. Bartlett
5. Matthew B. Blaschko
6. Laurent Itti
7. Thomas Hofmann
8. Jiri Najemnik
9. Antonio Torralba
10. Leslie Pack Kaelbling

Who trusts Nicholas J. Butko overall

1. Yu-Chuan Su
2. Piotr Doll'ar
3. Klaus Greff
4. Kristen Grauman
5. Volodymyr Mnih
6. Jie Feng
7. Yichen Wei
8. Sjoerd van Steenkiste
9. Ron Appel
10. Nicolas Manfred Otto Heess

Papers from Nicholas J. Butko's perspective

Ordered by how strongly the researchers Nicholas J. Butko 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. Gradient-based learning applied to document recognition
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 Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Pattern Recognition and Machine Learning
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Optimal scanning for faster object detection (2009) — 115 citations