Changqing Zou
Computer Vision and Pattern Recognition · 2014–2020
A researcher in the Science corpus: 4 papers; trusts 362 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 84 citations into it; #6,402 of 21,575 by trust here, #7,249 by citations
- Artificial Intelligence — 42 citations into it; #16,294 of 35,345 by trust here, #10,319 by citations
- Evaluation & Benchmarks — 5 citations into it
- Media Technology — 5 citations into it
Whom Changqing Zou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Andrew Zisserman
- Diederik P. Kingma
- Kaiming He
- Ross B. Girshick
- Yann LeCun
- Ivan Laptev
- Ilya Sutskever
Who trusts Changqing Zou overall
- Guy Lev
- Karen Simonyan
- Zhenzhong Lan
- Do Hang Nga
- Samitha Herath
- Rohit Girdhar
- Zehua Sun
- Yi Zhu
- Amlan Kar
- César Roberto De Souza
Papers from Changqing Zou's perspective
Ordered by how strongly the researchers Changqing 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Action Recognition with Stacked Fisher Vectors (2014) — 388 citations
- Hypergraph Learning: Methods and Practices (2020) — 378 citations
- ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding (2018) — 310 citations
- Learning to group discrete graphical patterns (2017) — 20 citations