Qi Mao

Computer Vision and Pattern Recognition · with Lee · 2019

A researcher in the Science corpus: 1 paper; trusts 81 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #18,277 of 21,575 by trust here, #11,721 by citations
• Generative Models — 25 citations into it; #1,666 of 1,956 by trust here, #1,287 by citations
• Artificial Intelligence — 8 citations into it

Whom Qi Mao trusts overall

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

1. Alex Krizhevsky
2. Ming-Yu Liu
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yoshua Bengio
6. Jun-Yan Zhu
7. Christian Szegedy
8. Kaiming He
9. Alec Radford
10. Individualized Treat

Who trusts Qi Mao overall

1. Hsin-Ying Lee
2. Chieh Hubert Lin
3. Yen-Chi Cheng
4. Juwon Seo
5. Zhuangdi Zhu
6. Hung-Yu Tseng
7. Yingxue Pang
8. Yunjey Choi
9. Ze Wang
10. Lingzhi Zhang

Papers from Qi Mao's perspective

Ordered by how strongly the researchers Qi Mao 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (2019) — 444 citations