Zengfu Wang
Media Technology · 2015–2018
A researcher in the Science corpus: 7 papers; trusts 177 researchers and is trusted by 46 researchers here, as inferred from the citation graph.
Subfields
- Media Technology — 150 citations into it; #219 of 3,621 by trust here, #313 by citations
- Computer Vision and Pattern Recognition — 146 citations into it; #4,165 of 21,575 by trust here, #5,680 by citations
- Aerospace Engineering — 34 citations into it; #2,128 of 6,421 by trust here, #2,734 by citations
- Biomedical Engineering — 16 citations into it
- Computational Mechanics — 12 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Zengfu Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bin Yang
- Shutao Li
- Gemma Piella
- David G. Lowe
- Michael Elad
- Stéphane Mallat
- Qiang Zhang
- Costas S. Xydeas
- Vladimir S. Petrovic
- Zheng Liu
Who trusts Zengfu Wang overall
Papers from Zengfu Wang's perspective
Ordered by how strongly the researchers Zengfu Wang 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Deep learning for pixel-level image fusion: Recent advances and future prospects (2018) — 655 citations
- Infrared and visible image fusion with convolutional neural networks (2017) — 417 citations
- Multi-focus image fusion with a deep convolutional neural network (2017) — 1,234 citations
- A deep CNN method for underwater image enhancement (2017) — 308 citations
- Simultaneous image fusion and denoising with adaptive sparse representation (2015) — 330 citations
- A general framework for image fusion based on multi-scale transform and sparse representation (2015) — 1,343 citations
- Multi-focus image fusion with dense SIFT (2015) — 464 citations