Lingyun Ma

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 130 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 21 citations into it
• Multimodal Learning — 20 citations into it
• Natural Language Processing — 7 citations into it

Whom Lingyun Ma trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ross B. Girshick
7. Shaoqing Ren
8. Yann LeCun
9. Jimmy Ba
10. Ilya Sutskever

Papers from Lingyun Ma's perspective

Ordered by how strongly the researchers Lingyun Ma 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
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. ImageNet Large Scale Visual Recognition Challenge
10. Microsoft COCO: Common Objects in Context

Their papers

• Similarity Reasoning and Filtration for Image-Text Matching (2021) — 434 citations