Wei Wang

Computer Vision and Pattern Recognition · 2 papers · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 61 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it; #19,974 of 21,575 by trust here, #13,815 by citations
• Artificial Intelligence — 17 citations into it
• Human-Computer Interaction — 6 citations into it

Whom Wei Wang trusts overall

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

1. Diederik P. Kingma
2. David G. Lowe
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. David M. Blei
6. Yann LeCun
7. Yoshua Bengio
8. Kaiming He
9. Michael I. Jordan
10. Karen Simonyan

Who trusts Wei Wang overall

1. Yisheng Song

Papers from Wei Wang's perspective

Ordered by how strongly the researchers Wei 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
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. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning (2018) — 376 citations
• Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval (2016) — 306 citations