Qin Zou
Computer Vision and Pattern Recognition · Pattern Recognition Letters · 2012–2019
A researcher in the Science corpus: 5 papers; trusts 229 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 64 citations into it
- Artificial Intelligence — 38 citations into it
- Automotive Engineering — 12 citations into it
- Model Architectures — 10 citations into it
- Media Technology — 8 citations into it
- Safety, Robustness & Interpretability — 8 citations into it
- Environmental Engineering — 5 citations into it
Whom Qin Zou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Karen Simonyan
- Ross B. Girshick
- Alex Krizhevsky
- Kaiming He
- Diederik P. Kingma
- Yoshua Bengio
- Andrew Zisserman
- Yann LeCun
- Ilya Sutskever
Who trusts Qin Zou overall
- Seongdeok Bang
- Chuan-Zhi Dong
- Fan Yang
- Wenyuan Li
- Chun-Hao Kingsley Chang
- Weixun Zhou
- Weijia Li
- Jie Cai
- Ying Li
- Jian Kang
Papers from Qin Zou's perspective
Ordered by how strongly the researchers Qin Zou 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
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- CrackTree: Automatic crack detection from pavement images (2012) — 1,073 citations
- Robust Lane Detection From Continuous Driving Scenes Using Deep Neural Networks (2019) — 347 citations
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection (2019) — 912 citations
- Privacy-Preserving Collaborative Deep Learning with Irregular Participants. (2018) — 10 citations
- Deep Learning Based Feature Selection for Remote Sensing Scene Classification (2015) — 795 citations