Meina Qiao

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 67 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it
• Artificial Intelligence — 28 citations into it
• Model Architectures — 8 citations into it
• Industrial and Manufacturing Engineering — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Meina Qiao trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Ilya Sutskever
6. Sergey Ioffe
7. Karen Simonyan
8. Yoshua Bengio
9. Christian Szegedy
10. Yann LeCun

Papers from Meina Qiao's perspective

Ordered by how strongly the researchers Meina Qiao 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. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining (2022) — 51 citations
• A fast and robust convolutional neural network-based defect detection model in product quality control (2017) — 442 citations