Wenxiao Wang

Computer Vision and Pattern Recognition · with Jia · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 112 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it
• Artificial Intelligence — 38 citations into it
• Computational Mechanics — 22 citations into it
• Geology — 16 citations into it
• Aerospace Engineering — 6 citations into it
• Generative Models — 5 citations into it

Whom Wenxiao Wang trusts overall

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

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

Papers from Wenxiao Wang's perspective

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

• The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks (2019) — 533 citations
• Masked Autoencoders for Point Cloud Self-supervised Learning (2022) — 737 citations