Tao Ma

Computer Vision and Pattern Recognition · with Bai · 2019

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Generative Models — 19 citations into it

Whom Tao Ma trusts overall

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

1. Justin Johnson
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Christian Szegedy
5. Alex Krizhevsky
6. Kaiming He
7. Qifeng Chen
8. Yoshua Bengio
9. Yann LeCun
10. Li Fei-Fei

Papers from Tao Ma's perspective

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

Their papers

• PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph (2019) — 110 citations