Yajing Sun

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 21 citations into it
• Multimodal Learning — 16 citations into it

Whom Yajing Sun trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Shaoqing Ren
4. Alex Krizhevsky
5. Ross B. Girshick
6. Yoshua Bengio

Papers from Yajing Sun's perspective

Ordered by how strongly the researchers Yajing Sun 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Microsoft COCO: Common Objects in Context
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering (2020) — 160 citations