George Vogiatzis
Computer Vision and Pattern Recognition · 2005–2016
A researcher in the Science corpus: 7 papers; trusts 57 researchers and is trusted by 200 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 57 citations into it; #2,648 of 21,575 by trust here, #3,692 by citations
- Computer Graphics and Computer-Aided Design — 21 citations into it; #1,248 of 1,584 by trust here, #1,205 by citations
- 3D Vision & Pose — 15 citations into it
- Aerospace Engineering — 15 citations into it; #388 of 6,421 by trust here, #652 by citations
- Computational Mechanics — 11 citations into it; #7,876 of 10,001 by trust here, #7,501 by citations
Whom George Vogiatzis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yuri Boykov
- Vladimir Kolmogorov
- Daniel Scharstein
- Richard Szeliski
- Carlos Hernández Esteban
- Ramin Zabih
- Brian Curless
- S. M. Seitz
- Harry Shum
- Temple F. Smith
Who trusts George Vogiatzis overall
- Yasutaka Furukawa
- Shubao Liu
- Yebin Liu
- Brian Curless
- S. M. Seitz
- Carlos Hernández
- Neill D. F. Campbell
- Richard Szeliski
- Carlos Hernández Esteban
- Lior Yariv
Papers from George Vogiatzis's perspective
Ordered by how strongly the researchers George Vogiatzis trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Distinctive Image Features from Scale-Invariant Keypoints
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Fast approximate energy minimization via graph cuts
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
Their papers
- Large Scale Multi-view Stereopsis Evaluation (2014) — 1,030 citations
- Multi-view stereo via volumetric graph-cuts (2005) — 372 citations
- Large-Scale Data for Multiple-View Stereopsis (2016) — 758 citations
- Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo (2008) — 447 citations
- Multiview Stereo via Volumetric Graph-Cuts and Occlusion Robust Photo-Consistency (2007) — 329 citations
- Multiview Photometric Stereo (2008) — 310 citations
- KAAS: an automatic genome annotation and pathway reconstruction server (2007) — 1,648 citations