Qian Wang

Computer Vision and Pattern Recognition · with Mou · 2022

A researcher in the Science corpus: 1 paper; trusts 431 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 73 citations into it
• Media Technology — 37 citations into it
• Computational Mechanics — 17 citations into it
• Computer Graphics and Computer-Aided Design — 5 citations into it

Whom Qian Wang trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Kai Zhang
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Sergey Ioffe
7. Yoshua Bengio
8. Christian Szegedy
9. Ross B. Girshick
10. Yann LeCun

Papers from Qian Wang's perspective

Ordered by how strongly the researchers Qian 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Generalized Unfolding Networks for Image Restoration (2022) — 317 citations