Mei Chen

Computer Vision and Pattern Recognition · with Kanade · 2007–2008

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mei Chen trusts overall

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

  1. Radford M. Neal
  2. John F. Canny
  3. Stanley J. Osher
  4. Luc M. Vincent
  5. Daniel Cremers
  6. Christophe Zimmer
  7. Olivier Debeir
  8. Alexandre Cecilien Dufour
  9. Omar Al-Kofahi

Papers from Mei Chen's perspective

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

  1. Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
  2. A Computational Approach to Edge Detection
  3. Segmentation and tracking of migrating cells in videomicroscopy with parametric active contours: a tool for cell-based drug testing
  4. Beyond the Kalman Filter: Particle Filters for Tracking Applications
  5. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
  6. TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 ModDrop
  7. Automated Cell Lineage Construction: A Rapid Method to Analyze Clonal Development Established with Murine Neural Progenitor Cells
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers