YueFeng Chen

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 161 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 97 citations into it
• Artificial Intelligence — 72 citations into it
• Model Architectures — 22 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Optimization & Training — 7 citations into it

Whom YueFeng Chen trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Ilya Sutskever
8. Oriol Vinyals
9. Ross B. Girshick
10. Christian Szegedy

Who trusts YueFeng Chen overall

1. Pavan Kumar Anasosalu Vasu

Papers from YueFeng Chen's perspective

Ordered by how strongly the researchers YueFeng Chen 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. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Towards Robust Vision Transformer (2021) — 245 citations
• Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain (2021) — 586 citations
• Self-Supervised Learning for Few-Shot Image Classification (2019) — 132 citations