Guy Gilboa

Computer Vision and Pattern Recognition · 2002–2008

A researcher in the Science corpus: 5 papers; trusts 145 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it; #3,392 of 21,575 by trust here, #5,161 by citations
• Computational Mechanics — 17 citations into it
• Computational Theory and Mathematics — 11 citations into it; #9,982 of 12,182 by trust here, #9,306 by citations
• Mathematical Physics — 10 citations into it; #402 of 8,562 by trust here, #711 by citations
• Computer Graphics and Computer-Aided Design — 6 citations into it

Whom Guy Gilboa trusts overall

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

1. Stanley J. Osher
2. Leo J. Grady
3. Antonin Chambolle
4. Ron Kimmel
5. Nir A. Sochen
6. Tony F. Chan
7. Yuri Boykov
8. Alexei A. Efros
9. Jean-François Aujol
10. Risi Kondor

Who trusts Guy Gilboa overall

1. Daniel Spector
2. Deqing Sun
3. Tadele Mengesha
4. Gabriele Steidl
5. Marta D'Elia
6. G. Peyr'e
7. Stanley J. Osher
8. Xiaoqun Zhang
9. Yifei Lou
10. Max D. Gunzburger

Papers from Guy Gilboa's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Structure-Texture Image Decomposition—Modeling, Algorithms, and Parameter Selection (2006) — 702 citations
• Nonlocal Operators with Applications to Image Processing (2008) — 1,604 citations
• Nonlocal Linear Image Regularization and Supervised Segmentation (2007) — 562 citations
• Image enhancement and denoising by complex diffusion processes (2004) — 485 citations
• Forward-and-backward diffusion processes for adaptive image enhancement and denoising (2002) — 397 citations