Ming Tao

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 311 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 75 citations into it
• Generative Models — 55 citations into it
• Artificial Intelligence — 26 citations into it
• Multimodal Learning — 25 citations into it
• Optimization & Training — 11 citations into it
• Model Architectures — 10 citations into it
• Media Technology — 7 citations into it

Whom Ming Tao trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Yoshua Bengio
6. Alex Krizhevsky
7. Karen Simonyan
8. Yann LeCun
9. Ilya Sutskever
10. Christian Szegedy

Who trusts Ming Tao overall

1. Weihao Xia
2. Yufan Zhou
3. Zhu Zhang
4. Ming Ding
5. Dong Huk Park
6. Nupur Kumari
7. Yujiu Yang
8. Aditya Ramesh
9. Xihui Liu
10. Hao Wang

Papers from Ming Tao's perspective

Ordered by how strongly the researchers Ming Tao 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis (2020) — 308 citations
• DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis (2020) — 224 citations