Yeqi Bai

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 23 citations into it
• Generative Models — 19 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yeqi Bai trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Yoshua Bengio
5. Daojian Zeng
6. Kaiming He
7. Yann LeCun
8. L. V. D. van der Maaten
9. Justin Johnson
10. Christian Szegedy

Papers from Yeqi Bai's perspective

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

Their papers

• PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph (2019) — 110 citations
• Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features (2019) — 38 citations