Xiaoqun Zhang
Computer Vision and Pattern Recognition · 2010–2015
A researcher in the Science corpus: 7 papers; trusts 103 researchers and is trusted by 43 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 85 citations into it; #13,478 of 21,575 by trust here, #16,787 by citations
- Computational Mechanics — 78 citations into it; #670 of 10,001 by trust here, #991 by citations
- Geophysics — 33 citations into it; #1,240 of 1,958 by trust here, #1,851 by citations
- Mathematical Physics — 32 citations into it; #509 of 8,562 by trust here, #448 by citations
- Signal Processing — 15 citations into it
- Mathematical Optimization — 11 citations into it
- Numerical Methods & Scientific Computing — 11 citations into it
- Radiology, Nuclear Medicine and Imaging — 11 citations into it
Whom Xiaoqun Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stanley J. Osher
- Antonin Chambolle
- E.J. Candes
- Tom Goldstein
- Patrick L. Combettes
- Ingrid Daubechies
- Yurii E. Nesterov
- Guy Gilboa
- Mário A. T. Figueiredo
- Martin Burger
Who trusts Xiaoqun Zhang overall
- Neal Parikh
- Bingsheng He
- Laurent Condat
- Weisheng Dong
- Ming Yan
- Thomas Pock
- Julien Mairal
- Xiaoming Yuan
- Jingwei Liang
- Antonin Chambolle
Papers from Xiaoqun Zhang's perspective
Ordered by how strongly the researchers Xiaoqun Zhang 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Atomic Decomposition by Basis Pursuit
- Regression Shrinkage and Selection via the Lasso
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
Their papers
- Image Recovery via Nonlocal Operators (2010) — 371 citations
- A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration (2010) — 450 citations
- Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction (2010) — 738 citations
- A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science (2010) — 739 citations
- A primal–dual fixed point algorithm for convex separable minimization with applications to image restoration (2013) — 244 citations
- Interpolation and denoising of high-dimensional seismic data by learning a tight frame (2015) — 142 citations
- Seismic data restoration via data-driven tight frame (2014) — 97 citations