Xin Qin

Computer Vision and Pattern Recognition · with Li · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 175 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 — 59 citations into it
• Model Architectures — 10 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Xin Qin trusts overall

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

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

Papers from Xin Qin's perspective

Ordered by how strongly the researchers Xin Qin 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. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• When Video Classification Meets Incremental Classes (2021) — 32 citations
• What and Where: Learn to Plug Adapters via NAS for Multidomain Learning (2020) — 21 citations