Hao Wang

Computer Vision and Pattern Recognition · with Hoi · 2021

A researcher in the Science corpus: 1 paper; trusts 154 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 — 29 citations into it

Whom Hao Wang trusts overall

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

1. Tero Karras
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Kaiming He
7. Yoshua Bengio
8. Andrew Zisserman
9. Ilya Sutskever
10. Yann LeCun

Papers from Hao Wang's perspective

Ordered by how strongly the researchers Hao Wang 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. Attention is All you Need (Neural Information Processing Systems)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
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

• Cycle-Consistent Inverse GAN for Text-to-Image Synthesis (2021) — 57 citations