Kalin S. Kolev

Computer Vision and Pattern Recognition · 2006–2011

A researcher in the Science corpus: 4 papers; trusts 44 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #6,760 of 21,575 by trust here, #13,269 by citations
• Accounting — 24 citations into it
• Finance — 14 citations into it
• Aerospace Engineering — 13 citations into it; #1,145 of 6,421 by trust here, #3,072 by citations
• Strategy and Management — 13 citations into it
• 3D Vision & Pose — 8 citations into it
• Computer Graphics and Computer-Aided Design — 7 citations into it; #1,296 of 1,584 by trust here, #1,205 by citations
• Computational Mechanics — 5 citations into it

Whom Kalin S. Kolev trusts overall

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

1. S. M. Seitz
2. Anthony J. Yezzi Jr.
3. Richard Szeliski
4. Tony F. Chan
5. Mitchell A. Petersen
6. Sarah E. McVay
7. Brian Curless
8. Yuri Boykov
9. Carlos Hernández Esteban
10. George Vogiatzis

Who trusts Kalin S. Kolev overall

1. Christian Häne
2. Martin R. Oswald
3. Nikolay Savinov
4. Amaël Delaunoy
5. Marc Pollefeys
6. Christopher Zach
7. Pablo Speciale
8. Yebin Liu
9. Sara Alexandra Gomes Vicente
10. Bastian Goldluecke

Papers from Kalin S. Kolev's perspective

Ordered by how strongly the researchers Kalin S. Kolev 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Distinctive Image Features from Scale-Invariant Keypoints
7. Long Short-Term Memory
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains (2011) — 131 citations
• Continuous Global Optimization in Multiview 3D Reconstruction (2007) — 185 citations
• Robust Variational Segmentation of 3D Objects from Multiple Views (2006) — 35 citations
• Sec Scrutiny and the Evolution of Non-Gaap Reporting (2008) — 267 citations