James Davis

Computer Vision and Pattern Recognition · 2000–2008

A researcher in the Science corpus: 8 papers; trusts 30 researchers and is trusted by 410 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it; #2,077 of 21,575 by trust here, #2,718 by citations
• Computer Graphics and Computer-Aided Design — 17 citations into it; #1,014 of 1,584 by trust here, #539 by citations
• Computational Mechanics — 15 citations into it; #6,331 of 10,001 by trust here, #2,574 by citations
• 3D Vision & Pose — 10 citations into it
• Media Technology — 7 citations into it; #901 of 3,621 by trust here, #1,696 by citations

Whom James Davis trusts overall

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

1. Daniel Scharstein
2. Richard Szeliski
3. Brian Curless
4. Stanley J. Osher
5. Robert J. Woodham
6. Li Zhang
7. Qingxiong Yang
8. Ronald Fedkiw
9. Jan J. Koenderink
10. Marc Levoy

Who trusts James Davis overall

1. Song Zhang
2. Federico Tombari
3. Samuele Salti
4. Daniel Vlasic
5. Tao Ju
6. X. Su
7. Li Zhang
8. Luigi Di Stefano
9. Dragomir Anguelov
10. Wei Zhao

Papers from James Davis's perspective

Ordered by how strongly the researchers James Davis 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. Fast approximate energy minimization via graph cuts
4. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Distinctive Image Features from Scale-Invariant Keypoints
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• SCAPE: shape completion and animation of people (2005) — 1,984 citations
• Detailed Human Shape and Pose from Images (2007) — 363 citations
• Spatial-Depth Super Resolution for Range Images (2007) — 848 citations
• Spacetime stereo: a unifying framework for depth from triangulation (2005) — 301 citations
• Fusion of time-of-flight depth and stereo for high accuracy depth maps (2008) — 320 citations
• Efficiently combining positions and normals for precise 3D geometry (2005) — 493 citations
• Filling holes in complex surfaces using volumetric diffusion (2002) — 573 citations
• The digital Michelangelo project: 3D scanning of large statues (2000) — 1,861 citations