Gilles Hennenfent

Computer Vision and Pattern Recognition · 2008–2010

A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #4,538 of 21,575 by trust here, #9,187 by citations
• Computational Mechanics — 28 citations into it; #1,191 of 10,001 by trust here, #2,782 by citations
• Geophysics — 15 citations into it; #82 of 1,958 by trust here, #334 by citations
• Applied Mathematics — 13 citations into it
• Ocean Engineering — 9 citations into it
• Optimization & Training — 6 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it; #1,981 of 3,265 by trust here, #3,008 by citations

Whom Gilles Hennenfent trusts overall

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

1. E.J. Candes
2. David L. Donoho
3. Daniel Trad
4. Felix J. Herrmann
5. Justin K. Romberg
6. Jean-Luc Starck
7. Terence Tao
8. William W. Symes
9. Sheng Xu
10. Stéphane Mallat

Who trusts Gilles Hennenfent overall

1. Jianwei Ma
2. Nadia Kreimer
3. Ewout van den Berg
4. R. Sternfels
5. Saad B. Qaisar
6. Mauricio D. Sacchi
7. Yanfei Wang
8. Lloyd Fenelon
9. Benfeng Wang
10. Siwei Yu

Papers from Gilles Hennenfent's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Atomic Decomposition by Basis Pursuit
3. A wavelet tour of signal processing
4. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
5. Stable signal recovery from incomplete and inaccurate measurements
6. Fast Discrete Curvelet Transforms (Multiscale Modeling & simulation)
7. Decoding by linear programming
8. Curvelets: A Surprisingly Effective Nonadaptive Representation for Objects with Edges
9. Uncertainty principles and ideal atomic decomposition
10. The curvelet transform for image denoising (Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205))

Their papers

• Nonequispaced curvelet transform for seismic data reconstruction: A sparsity-promoting approach (2010) — 141 citations
• Simply denoise: Wavefield reconstruction via jittered undersampling (2008) — 323 citations
• Non-parametric seismic data recovery with curvelet frames (2008) — 532 citations