Jingwei Xu

Computer Vision and Pattern Recognition · with Darrell · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Jingwei Xu trusts overall

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

1. Diederik P. Kingma
2. Daniel Holden
3. Sepp Hochreiter
4. Josh Tenenbaum
5. Geoffrey E. Hinton
6. Jimmy Ba
7. J. Urgen Schmidhuber
8. Taku Komura
9. Leon A. Gatys
10. Jun Saito

Papers from Jingwei Xu's perspective

Ordered by how strongly the researchers Jingwei Xu 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Hierarchical Style-based Networks for Motion Synthesis (2020) — 36 citations