Chiu Yen Kao

Computer Vision and Pattern Recognition · 2004–2009

A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #10,258 of 21,575 by trust here, #12,172 by citations
• Computational Mechanics — 8 citations into it; #3,469 of 10,001 by trust here, #7,884 by citations
• Computational Theory and Mathematics — 7 citations into it; #4,158 of 12,182 by trust here, #8,756 by citations
• Modeling and Simulation — 5 citations into it; #871 of 2,105 by trust here, #729 by citations

Whom Chiu Yen Kao trusts overall

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

1. James A. Sethian
2. Tony F. Chan
3. Luminita A. Vese
4. Stanley J. Osher
5. Nikos Paragios
6. Yen-Hsi Richard Tsai
7. Chunming Li
8. Andy Tsai
9. Alexander Vladimirsky
10. Rachid Deriche

Who trusts Chiu Yen Kao overall

1. Hongkai Zhao
2. Wenxian Shen
3. Wan-Tong Li
4. M. I. M. Sabry Hassouna
5. Shingyu Leung
6. Kaihua Zhang
7. Mark W. Jones
8. Laurent Lessard
9. Nar Rawal
10. Haijun Wang

Papers from Chiu Yen Kao's perspective

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

1. Snakes: Active contour models
2. A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model (International Journal of Computer Vision)
3. Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification (IEEE Transactions on Image Processing)
4. Statistical shape influence in geodesic active contours (Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662))
5. Active contours without edges
6. Ordered upwind methods for static Hamilton–Jacobi equations (Proceedings of the National Academy of Sciences of the United States of America)
7. A shape-based approach to the segmentation of medical imagery using level sets (IEEE Transactions on Medical Imaging)
8. Fast Sweeping Algorithms for a Class of Hamilton-Jacobi Equations (SIAM Journal on Numerical Analysis)
9. Level set evolution without re-initialization: a new variational formulation (Computer Vision and Pattern Recognition)
10. Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation (International Journal of Computer Vision)

Their papers

• Minimization of Region-Scalable Fitting Energy for Image Segmentation (2008) — 1,794 citations
• Lax-Friedrichs sweeping scheme for static Hamilton-Jacobi equations (2004) — 264 citations
• Random dispersal vs. non-local dispersal (2009) — 292 citations
• Implicit Active Contours Driven by Local Binary Fitting Energy (2007) — 993 citations
• Maximizing band gaps in two-dimensional photonic crystals by using level set methods (2005) — 207 citations