Shifeng Wen

Computer Vision and Pattern Recognition · with Liu · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Cognitive Neuroscience — 18 citations into it
• Artificial Intelligence — 9 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Sensory Systems — 6 citations into it

Whom Shifeng Wen trusts overall

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

1. Yoshua Bengio
2. Xiaodi Hou
3. Geoffrey E. Hinton
4. Laurent Itti
5. Ali Borji
6. Pascal Vincent
7. Jonathan Harel
8. Kaiming He
9. Yann LeCun
10. David E. Rumelhart

Papers from Shifeng Wen's perspective

Ordered by how strongly the researchers Shifeng Wen 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Predicting eye fixations using convolutional neural networks (2015) — 249 citations
• Two-Stage Learning to Predict Human Eye Fixations via SDAEs (2016) — 150 citations