Qiuxia Lai

Computer Vision and Pattern Recognition · with Xu · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 537 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 126 citations into it; #14,100 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 41 citations into it
• Model Architectures — 26 citations into it
• Management Science and Operations Research — 14 citations into it
• Sensory Systems — 12 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Building and Construction — 7 citations into it
• Media Technology — 5 citations into it

Whom Qiuxia Lai trusts overall

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

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

Who trusts Qiuxia Lai overall

1. Deng-Ping Fan
2. Ge-Peng Ji
3. Xiaoqi Zhao
4. Keren Fu
5. Nian Liu

Papers from Qiuxia Lai's perspective

Ordered by how strongly the researchers Qiuxia Lai 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Salient Object Detection in the Deep Learning Era: An In-Depth Survey (2019) — 747 citations
• SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction (2021) — 851 citations