Stanley H. Chan
Computer Vision and Pattern Recognition · 2011–2016
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 34 citations into it; #8,402 of 21,575 by trust here, #12,172 by citations
- Computational Mechanics — 16 citations into it; #3,284 of 10,001 by trust here, #4,749 by citations
- Media Technology — 12 citations into it
Whom Stanley H. Chan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Junfeng Yang
- M. Powell
- R. Tyrrell Rockafellar
- Joseph W. Goodman
- Mário A. T. Figueiredo
- He He
- Tomer Peleg
- Zachary T. Harmany
- Yin Zhang
- Jianchao Yang
Who trusts Stanley H. Chan overall
- Kai Zhang
- Xin Yuan
- Yaniv Romano
- Hemant Kumar Aggarwal
- Wangmeng Zuo
- Hyungjin Chung
- Weisheng Dong
- Ernest K. Ryu
- Tianlong Chen
- Chen Wei
Papers from Stanley H. Chan's perspective
Ordered by how strongly the researchers Stanley H. Chan 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
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Plug-and-Play ADMM for Image Restoration: Fixed-Point Convergence and Applications (2016) — 918 citations
- An Augmented Lagrangian Method for Total Variation Video Restoration (2011) — 474 citations