Yue Deng

Computer Vision and Pattern Recognition · with Chen · 2013–2019

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it

Whom Yue Deng trusts overall

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

1. Min-Ling Zhang
2. Luis von Ahn
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Ian J. Goodfellow
6. Ilya Sutskever
7. Yoshua Bengio
8. Catherine Wah
9. Chih-Kuan Yeh
10. Yunchao Gong

Papers from Yue Deng's perspective

Ordered by how strongly the researchers Yue Deng 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. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
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. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Adversarial Multi-label Prediction for Spoken and Visual Signal Tagging (2019)
• Free-Viewpoint Video of Human Actors Using Multiple Handheld Kinects (2013) — 33 citations