M. Bray

Computer Vision and Pattern Recognition · with Gool · 2004

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Bray trusts overall

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

  1. Barak A. Pearlmutter
  2. N. Schraudolph
  3. Cristian Sminchisescu
  4. Alex Mohr
  5. Jonathan A. J. Deutscher
  6. John P. Lewis
  7. Richard S. Sutton
  8. Bill Triggs
  9. Robert A. Jacobs
  10. Michael Gleicher

Who trusts M. Bray overall

  1. Ali Erol

Papers from M. Bray's perspective

Ordered by how strongly the researchers M. Bray 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Articulated body motion capture by annealed particle filtering (Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662))
  6. Pose Space Deformation: A Unified Approach to Shape Interpolation and Skeleton-Driven Deformation (International Conference on Computer Graphics and Interactive Techniques)
  7. Stochastic Tracking of 3D Human Figures Using 2D Image Motion (European Conference on Computer Vision)
  8. Covariance scaled sampling for monocular 3D body tracking (Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001)
  9. Long Short-Term Memory
  10. Histograms of oriented gradients for human detection

Their papers