Lingyu Wei

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 140 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 84 citations into it; #13,354 of 21,575 by trust here, #6,873 by citations
• Computational Mechanics — 29 citations into it; #6,420 of 10,001 by trust here, #3,029 by citations
• Computer Graphics and Computer-Aided Design — 16 citations into it
• Generative Models — 7 citations into it

Whom Lingyu Wei trusts overall

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

1. Alex Krizhevsky
2. Yaron Lipman
3. Geoffrey E. Hinton
4. Hao Li
5. Alexei A. Efros
6. Vladimir G. Kim
7. Ilya Sutskever
8. Ross B. Girshick
9. Kaiming He
10. Yann LeCun

Who trusts Lingyu Wei overall

1. Or Litany
2. M. Ovsjanikov
3. Michael M. Bronstein
4. Adrien Poulenard
5. Paul Guerrero
6. Davide Boscaini
7. Abhishek Sharma
8. Shota Horiguchi
9. Nicholas Sharp
10. Ilya Kostrikov

Papers from Lingyu Wei's perspective

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

Their papers

• Dense Human Body Correspondences Using Convolutional Networks (2015) — 211 citations
• paGAN (2018) — 167 citations
• Photorealistic Facial Texture Inference Using Deep Neural Networks (2016) — 138 citations