Ling-Yu Duan

Computer Vision and Pattern Recognition · with Mei · 2020

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #14,591 of 21,575 by trust here, #15,955 by citations
• Artificial Intelligence — 27 citations into it; #23,660 of 35,345 by trust here, #24,417 by citations

Whom Ling-Yu Duan trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Andrew L. Maas
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Andrew Zisserman
7. Judy Hoffman

Who trusts Ling-Yu Duan overall

1. Lukas Hoyer

Papers from Ling-Yu Duan's perspective

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

Their papers

• Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation (2020) — 340 citations