Lale Akarun

Computer Vision and Pattern Recognition · 2008–2012

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Lale Akarun trusts overall

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

  1. Peter Meer
  2. Dorin Comaniciu
  3. Jamie Shotton
  4. Roberto Cipolla

Who trusts Lale Akarun overall

  1. Markus Oberweger
  2. Hui Liang
  3. J. Laviola
  4. Paul Wohlhart

Papers from Lale Akarun's perspective

Ordered by how strongly the researchers Lale Akarun trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Mean Shift: A Robust Approach Toward Feature Space Analysis
  2. Estimating 3D hand pose from a cluttered image (2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.)
  3. Efficient model-based 3D tracking of hand articulations using Kinect
  4. Sparse Bayesian Learning and the Relevan e Ve tor Ma hine
  5. Overview of the face recognition grand challenge (Computer Vision and Pattern Recognition)
  6. A 3D facial expression database for facial behavior research
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. ImageNet classification with deep convolutional neural networks
  9. Gradient-based learning applied to document recognition
  10. Going deeper with convolutions

Their papers