Xin Li
Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2011–2016
A researcher in the Science corpus: 5 papers; trusts 106 researchers and is trusted by 37 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 94 citations into it; #4,403 of 21,575 by trust here, #6,281 by citations
- Computational Mechanics — 76 citations into it; #963 of 10,001 by trust here, #1,190 by citations
- Media Technology — 40 citations into it; #2,418 of 3,621 by trust here, #1,770 by citations
- Signal Processing — 16 citations into it
- Mathematical Physics — 13 citations into it
- Biomedical Engineering — 10 citations into it; #2,065 of 10,734 by trust here, #5,712 by citations
- Applied Mathematics — 8 citations into it
- Radiology, Nuclear Medicine and Imaging — 8 citations into it
Whom Xin Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- Michael Elad
- Kostadin Dabov
- Julien Mairal
- Stanley J. Osher
- David L. Donoho
- Ingrid Daubechies
- Justin K. Romberg
- Michal Aharon
- Alessandro Foi
Who trusts Xin Li overall
- Kai Zhang
- Weisheng Dong
- Wangmeng Zuo
- Lei Zhang
- Shuhang Gu
- Saeed Anwar
- Xin Yuan
- Zongsheng Yue
- Linwei Fan
- Chunwei Tian
Papers from Xin Li's perspective
Ordered by how strongly the researchers Xin Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Nonlocally Centralized Sparse Representation for Image Restoration (2013) — 1,468 citations
- Nonlocal Image Restoration With Bilateral Variance Estimation: A Low-Rank Approach (2013) — 662 citations
- Sparsity-based image denoising via dictionary learning and structural clustering (2011) — 519 citations
- Compressive Sensing via Nonlocal Low-Rank Regularization (2014) — 578 citations
- Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation (2016) — 499 citations