Jian-Feng Cai
Computer Vision and Pattern Recognition · 2008–2012
A researcher in the Science corpus: 6 papers; trusts 56 researchers and is trusted by 159 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 81 citations into it; #5,266 of 21,575 by trust here, #9,563 by citations
- Computational Mechanics — 75 citations into it; #161 of 10,001 by trust here, #258 by citations
- Mathematical Physics — 26 citations into it; #3,239 of 8,562 by trust here, #4,022 by citations
- Applied Mathematics — 19 citations into it
- Biomedical Engineering — 19 citations into it; #1,808 of 10,734 by trust here, #6,620 by citations
- Signal Processing — 16 citations into it; #2,233 of 7,572 by trust here, #3,673 by citations
- Computational Theory and Mathematics — 10 citations into it
- Numerical Methods & Scientific Computing — 10 citations into it
Whom Jian-Feng Cai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- Ingrid Daubechies
- Stanley J. Osher
- David L. Donoho
- Patrick L. Combettes
- Michael Elad
- Mário A. T. Figueiredo
- Zuowei Shen
- Jianhong Shen
- Stéphane Mallat
Who trusts Jian-Feng Cai overall
- Zhouchen Lin
- Stanley J. Osher
- Prateek Jain
- Jong Chul Ye
- E.J. Candes
- Zuowei Shen
- John Wright
- Guangcan Liu
- Paul Tseng
- Li Niu
Papers from Jian-Feng Cai's perspective
Ordered by how strongly the researchers Jian-Feng Cai trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Atomic Decomposition by Basis Pursuit
- Regression Shrinkage and Selection via the Lasso
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- ImageNet: A large-scale hierarchical image database
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
Their papers
- Blind motion deblurring from a single image using sparse approximation (2009) — 328 citations
- A Singular Value Thresholding Algorithm for Matrix Completion (2008) — 6,096 citations
- Linearized Bregman iterations for compressed sensing (2009) — 349 citations
- Image restoration: Total variation, wavelet frames, and beyond (2012) — 349 citations
- Split Bregman Methods and Frame Based Image Restoration (2009) — 734 citations
- A framelet-based image inpainting algorithm (2008) — 374 citations