Limeng Qiao

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 250 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 72 citations into it
• Artificial Intelligence — 62 citations into it
• Representation & Self-Supervised Learning — 26 citations into it
• Optimization & Training — 11 citations into it
• Model Architectures — 7 citations into it

Whom Limeng Qiao trusts overall

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

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

Who trusts Limeng Qiao overall

1. Han-Jia Ye
2. Deng-Ping Fan
3. Yixiong Zou

Papers from Limeng Qiao's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning (2019) — 197 citations
• DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection (2021) — 314 citations