Ke Huang

Computational Mechanics · with Aviyente · 2006

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 8 citations into it; #1,485 of 10,001 by trust here, #4,178 by citations
• Computer Vision and Pattern Recognition — 6 citations into it; #5,268 of 21,575 by trust here, #12,689 by citations
• Signal Processing — 6 citations into it; #1,138 of 7,572 by trust here, #3,309 by citations

Whom Ke Huang trusts overall

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

1. Michael Elad
2. Joel A. Tropp
3. David L. Donoho
4. Ron Kohavi
5. Michal Aharon
6. Jean-Luc Starck
7. Stéphane Mallat
8. George Eastman House
9. David Paul Wipf
10. Ales Leonardis

Who trusts Ke Huang overall

1. Julien Mairal
2. Yang Cong
3. Meng Yang
4. Francis R. Bach
5. Garimella S. V. S. Sivaram
6. Lei Zhang
7. Ran He
8. Jean Ponce
9. Lingxiao He
10. Junsong Yuan

Papers from Ke Huang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Atomic Decomposition by Basis Pursuit
4. Matching pursuits with time-frequency dictionaries
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Sparse Representation for Signal Classification (2006) — 701 citations