Anthony J. Yezzi Jr.

Computer Vision and Pattern Recognition · 1995–2011

A researcher in the Science corpus: 12 papers; trusts 27 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it; #3,922 of 21,575 by trust here, #5,236 by citations
• Computational Mechanics — 10 citations into it; #9,040 of 10,001 by trust here, #6,582 by citations
• Computer Graphics and Computer-Aided Design — 9 citations into it
• Geometry and Topology — 6 citations into it; #7,294 of 7,422 by trust here, #3,077 by citations
• Information Theory — 5 citations into it

Whom Anthony J. Yezzi Jr. trusts overall

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

1. Stanley J. Osher
2. Misha Gromov
3. James A. Sethian
4. Eric Klassen
5. M. Crandall
6. Claude E. Shannon
7. Andy Tsai
8. Wendell H. Fleming
9. Tony F. Chan
10. Michael E. Leventon

Who trusts Anthony J. Yezzi Jr. overall

1. Daniel Cremers
2. Amaël Delaunoy
3. Kalin S. Kolev
4. Pau Gargallo
5. Chunming Li
6. Christopher Zach
7. Thomas Pock
8. Emmanuel Prados
9. Hailin Jin
10. Thomas Brox

Papers from Anthony J. Yezzi Jr.'s perspective

Ordered by how strongly the researchers Anthony J. Yezzi Jr. trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Image inpainting
5. Gradient-based learning applied to document recognition
6. Object recognition from local scale-invariant features
7. User’s guide to viscosity solutions of second order partial differential equations
8. Analysis of planar shapes using geodesic paths on shape spaces (IEEE Transactions on Pattern Analysis and Machine Intelligence)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Statistical shape influence in geodesic active contours (Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662))

Their papers

• Stereoscopic Segmentation (2003) — 170 citations
• Integral Invariants for Shape Matching (2006) — 278 citations
• A shape-based approach to the segmentation of medical imagery using level sets (2003) — 1,034 citations
• Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification (2001) — 976 citations
• A Nonrigid Kernel-Based Framework for 2D-3D Pose Estimation and 2D Image Segmentation (2011) — 32 citations
• Properties of Sobolev-type metrics in the space of curves (2006) — 57 citations
• A nonparametric statistical method for image segmentation using information theory and curve evolution (2005) — 340 citations
• Shedding light on stereoscopic segmentation (2004) — 58 citations
• Metrics in the space of curves (2004) — 51 citations
• A Fully Global Approach to Image Segmentation via Coupled Curve Evolution Equations (2002) — 356 citations
• On the relationship between parametric and geometric active contours (2000) — 306 citations
• Gradient flows and geometric active contour models (1995)