Xin Yan

Computer Vision and Pattern Recognition · with Pu · 2020

A researcher in the Science corpus: 2 papers; trusts 225 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 83 citations into it
• Artificial Intelligence — 72 citations into it
• Multimodal Learning — 31 citations into it
• Natural Language Processing — 19 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Xin Yan trusts overall

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

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

Who trusts Xin Yan overall

1. Zujie Liang

Papers from Xin Yan's perspective

Ordered by how strongly the researchers Xin Yan 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Counterfactual Samples Synthesizing for Robust Visual Question Answering (2020) — 330 citations
• Multichannel Attention Refinement for Video Question Answering (2020) — 31 citations