Mike R. James

Computer Vision and Pattern Recognition · 2004–2012

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it; #6,685 of 21,575 by trust here, #15,955 by citations

Whom Mike R. James trusts overall

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

1. Yasutaka Furukawa
2. David G. Lowe
3. S. M. Seitz
4. Shimon Ullman
5. Geert J. Verhoeven
6. Noah Snavely
7. Matthew A. Brown
8. Jean Ponce
9. Brian Curless
10. Richard Szeliski

Who trusts Mike R. James overall

1. Carlos Henrique Grohmann
2. Mark W. Smith
3. Jonathan P. Dandois
4. Darren Turner
5. Jordan Miller
6. Ramón Alberto Díaz-Varela
7. Martin Mokros
8. Arko Lucieer
9. Jonathan L. Carrivick
10. Marc Olano

Papers from Mike R. James's perspective

Ordered by how strongly the researchers Mike R. James trusts endorse each paper. Same corpus, a different order for every researcher.

1. Distinctive Image Features from Scale-Invariant Keypoints
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application (2012) — 1,019 citations
• Pressure changes associated with the ascent and bursting of gas slugs in liquid-filled vertical and inclined conduits. (2004) — 138 citations