Ping Ma

Computer Vision and Pattern Recognition · with Chen · 2013–2021

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 19 citations into it
• Generative Models — 19 citations into it
• Statistics and Probability — 8 citations into it
• Computational Mechanics — 6 citations into it

Whom Ping Ma trusts overall

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

1. Michael W. Mahoney
2. Petros Drineas
3. Gene H. Golub
4. Peristera Paschou
5. Alex Gittens
6. Sanford Weisberg
7. Geoffrey E. Hinton
8. Malik Magdon-Ismail
9. Alexia Jolicoeur-Martineau
10. S. Muthu Muthukrishnan

Who trusts Ping Ma overall

1. Tyler B. Johnson
2. D. Teng
3. Shusen Wang
4. Michael W. Mahoney
5. Carlos Guestrin
6. Sakyasingha Dasgupta
7. Farbod Roosta-Khorasani
8. Alex Gittens
9. Haiying Wang

Papers from Ping Ma's perspective

Ordered by how strongly the researchers Ping Ma 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. Going deeper with convolutions
4. Gradient-based learning applied to document recognition
5. GENERATIVE ADVERSARIAL NETS
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• A statistical perspective on algorithmic leveraging (2013) — 405 citations
• Hausdorff GAN: Improving GAN Generation Quality With Hausdorff Metric (2021) — 34 citations