Chunming Li

Computer Vision and Pattern Recognition · 2005–2019

A researcher in the Science corpus: 6 papers; trusts 17 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it; #4,694 of 21,575 by trust here, #5,620 by citations
• Computational Mechanics — 15 citations into it; #3,174 of 10,001 by trust here, #4,937 by citations
• Modeling and Simulation — 10 citations into it
• Computer Graphics and Computer-Aided Design — 8 citations into it
• Aerospace Engineering — 6 citations into it
• Biophysics — 6 citations into it; #312 of 1,196 by trust here, #812 by citations
• Computational Theory and Mathematics — 6 citations into it
• Signal Processing — 6 citations into it

Whom Chunming Li trusts overall

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

1. Stanley J. Osher
2. Tony F. Chan
3. Luminita A. Vese
4. Nikos Paragios
5. Gilles Aubert
6. Andy Tsai
7. James A. Sethian
8. Hongkai Zhao
9. Andrew P. Witkin
10. Olivier D. Faugeras

Who trusts Chunming Li overall

1. Kaihua Zhang
2. Lei Zhang
3. Haijun Wang
4. Mateusz Michalkiewicz
5. Huihui Song
6. David Acuna
7. Ping Hu
8. Sotirios A. Tsaftaris
9. Fuyong Xing
10. Tinghuai Wang

Papers from Chunming Li's perspective

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

1. Snakes: Active contour models
2. A Variational Level Set Approach to Multiphase Motion
3. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
4. Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification (IEEE Transactions on Image Processing)
5. Statistical shape influence in geodesic active contours (Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662))
6. A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model (International Journal of Computer Vision)
7. Reconciling distance functions and level sets
8. A finite element method for the simulation of a Rayleigh-Taylor instability
9. Fully convolutional networks for semantic segmentation
10. Fast approximate energy minimization via graph cuts

Their papers

• The Liver Tumor Segmentation Benchmark (LiTS) (2019) — 1,500 citations
• Distance Regularized Level Set Evolution and Its Application to Image Segmentation (2010) — 2,154 citations
• Level set evolution without re-initialization: a new variational formulation (2005) — 2,188 citations
• Minimization of Region-Scalable Fitting Energy for Image Segmentation (2008) — 1,794 citations
• A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI (2011) — 1,311 citations
• Implicit Active Contours Driven by Local Binary Fitting Energy (2007) — 993 citations