Xin Li

Computer Vision and Pattern Recognition · with Liu · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 276 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it
• Generative Models — 37 citations into it
• Artificial Intelligence — 18 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Xin Li trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Christian Szegedy
5. Diederik P. Kingma
6. Yoshua Bengio
7. Yann LeCun
8. Ross B. Girshick
9. Tsung-Yi Lin
10. Ilya Sutskever

Papers from Xin Li's perspective

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

Their papers

• Semantics-Enhanced Adversarial Nets for Text-to-Image Synthesis (2019) — 80 citations
• KT-GAN: Knowledge-Transfer Generative Adversarial Network for Text-to-Image Synthesis (2020) — 74 citations