Honghao Shan
Cognitive Neuroscience · 2006–2013
A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 20 citations into it; #2,923 of 10,852 by trust here, #2,740 by citations
- Computer Vision and Pattern Recognition — 15 citations into it; #11,940 of 21,575 by trust here, #7,750 by citations
- Neuroscience — 5 citations into it
Whom Honghao Shan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael S. Lewicki
- Aapo Hyvärinen
- Laurent Itti
- H. Barlow
- Lingyun Zhang
- Patrik O. Hoyer
- David J. Field
- Barbara Olshausen
- Anthony J. Bell
- Garrison W. Cottrell
Who trusts Honghao Shan overall
- Karl Ridgeway
- Charles F. Cadieu
- J. Urgen Schmidhuber
- Garrison W. Cottrell
- Lingyun Zhang
- Barbara Olshausen
- Ming-Ming Cheng
- Wenguan Wang
- Matthew H Tong
- Siwei Lyu
Papers from Honghao Shan's perspective
Ordered by how strongly the researchers Honghao Shan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- The "independent components" of natural scenes are edge filters.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
- Going deeper with convolutions
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- A feature-integration theory of attention.
Their papers
- SUN: A Bayesian framework for saliency using natural statistics. (2008) — 1,319 citations
- Efficient Visual Coding: From Retina To V2 (2013) — 6 citations
- Recursive ICA (2006) — 25 citations