C. Lawrence

Computer Vision and Pattern Recognition · with Kang · 2004–2010

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom C. Lawrence trusts overall

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

  1. Zhengyou Zhang
  2. Yung-Yu Chuang
  3. S. M. Seitz
  4. Ye Zhang
  5. Brian Curless
  6. Wojciech Matusik
  7. Chris Buehler
  8. Charles R. Dyer
  9. Chandra Kambhamettu
  10. Richard Szeliski

Who trusts C. Lawrence overall

  1. Heiko Hirschmüller
  2. Noah Snavely
  3. Richard Tucker
  4. Simon Niklaus
  5. C. Lawrence Zitnick
  6. K. Müller
  7. Daniel Scharstein
  8. John Flynn
  9. Thomas Luft
  10. Chen Gao

Papers from C. Lawrence's perspective

Ordered by how strongly the researchers C. Lawrence 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. A Bayesian approach to digital matting (Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001)
  4. Photorealistic Scene Reconstruction by Voxel Coloring
  5. Unstructured lumigraph rendering (International Conference on Computer Graphics and Interactive Techniques)
  6. Image-based visual hulls
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. Long Short-Term Memory
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers