Qiang Tang

Computer Vision and Pattern Recognition · with Azizi · 2020

A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Generative Models — 13 citations into it

Whom Qiang Tang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Yoshua Bengio
6. Jiahui Yu
7. Yann LeCun
8. Aäron van den Oord
9. Fisher Yu
10. Sepp Hochreiter

Who trusts Qiang Tang overall

1. Huiwen Chang
2. Yanhong Zeng

Papers from Qiang Tang's perspective

Ordered by how strongly the researchers Qiang Tang 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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

• Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting (2020) — 349 citations