Elisabeth Labruyere

Computer Vision and Pattern Recognition · 2002–2011

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #16,379 of 21,575 by trust here, #13,815 by citations

Whom Elisabeth Labruyere trusts overall

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

1. John F. Canny

Who trusts Elisabeth Labruyere overall

1. Fuyong Xing
2. Martin Maška
3. Kang Li
4. Lin F. Yang
5. Xiaodong Yang

Papers from Elisabeth Labruyere's perspective

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

1. A Threshold Selection Method from Gray-Level Histograms
2. Level Set Methods and Fast Marching Methods
3. Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
4. Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification (IEEE Transactions on Image Processing)
5. A Computational Approach to Edge Detection
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• 3-D Active Meshes: Fast Discrete Deformable Models for Cell Tracking in 3-D Time-Lapse Microscopy (2011) — 150 citations
• Segmentation and tracking of migrating cells in videomicroscopy with parametric active contours: a tool for cell-based drug testing (2002) — 322 citations