Qian Wang

Computer Vision and Pattern Recognition · with Zou · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 206 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it
• Artificial Intelligence — 13 citations into it
• Automotive Engineering — 12 citations into it
• Model Architectures — 8 citations into it
• Media Technology — 7 citations into it
• Environmental Engineering — 5 citations into it

Whom Qian Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Karen Simonyan
3. Alex Krizhevsky
4. Ross B. Girshick
5. Kaiming He
6. Diederik P. Kingma
7. Yoshua Bengio
8. Andrew Zisserman
9. Yann LeCun
10. Ilya Sutskever

Papers from Qian Wang's perspective

Ordered by how strongly the researchers Qian Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. GENERATIVE ADVERSARIAL NETS

Their papers

• 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
• Deep Learning Based Feature Selection for Remote Sensing Scene Classification (2015) — 795 citations