Qiang Zhang
Computer Vision and Pattern Recognition · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2009–2018
A researcher in the Science corpus: 4 papers; trusts 75 researchers and is trusted by 37 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 57 citations into it; #4,496 of 21,575 by trust here, #10,010 by citations
- Media Technology — 34 citations into it; #366 of 3,621 by trust here, #789 by citations
- Computational Mechanics — 25 citations into it; #1,896 of 10,001 by trust here, #5,157 by citations
- Biomedical Engineering — 10 citations into it
- Signal Processing — 9 citations into it
- Artificial Intelligence — 8 citations into it
- Radiology, Nuclear Medicine and Imaging — 5 citations into it
Whom Qiang Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark J. Shensa
- Michael Elad
- Lin Xiao
- Minh N. Do
- Michal Aharon
- Julien Mairal
- E.J. Candes
- Mário A. T. Figueiredo
- Pedro F. Felzenszwalb
- Peter N. Belhumeur
Who trusts Qiang Zhang overall
- Yu Liu
- Shutao Li
- Meng Yang
- Jiayi Ma
- Julien Mairal
- Zengfu Wang
- Gan Sun
- Jiajia Luo
- Gaurav Bhatnagar
- Yu Luo
Papers from Qiang Zhang's perspective
Ordered by how strongly the researchers Qiang 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
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Discriminative K-SVD for dictionary learning in face recognition (2010) — 1,316 citations
- Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review (2018) — 446 citations
- Weakly-Supervised Evidence Pinpointing and Description (2017) — 20 citations
- Multifocus image fusion using the nonsubsampled contourlet transform (2009) — 676 citations