Zunlei Feng

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 4 papers; trusts 509 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 116 citations into it
• Artificial Intelligence — 56 citations into it; #32,954 of 35,345 by trust here, #29,412 by citations
• Generative Models — 32 citations into it
• Representation & Self-Supervised Learning — 22 citations into it
• Computer Graphics and Computer-Aided Design — 19 citations into it
• Model Architectures — 10 citations into it
• Cognitive Neuroscience — 8 citations into it
• Graph Learning — 8 citations into it

Whom Zunlei Feng trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Karen Simonyan
5. Yoshua Bengio
6. Ilya Sutskever
7. Diederik P. Kingma
8. Andrew Zisserman
9. Ross B. Girshick
10. Yann LeCun

Who trusts Zunlei Feng overall

1. Dongze Lian
2. Jingwen Ye

Papers from Zunlei Feng's perspective

Ordered by how strongly the researchers Zunlei Feng 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
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

• Neural Style Transfer: A Review (2017) — 870 citations
• Factorizable Graph Convolutional Networks (2020) — 172 citations
• AFPN: Asymptotic Feature Pyramid Network for Object Detection (2023) — 391 citations
• CU-Net: Component Unmixing Network for Textile Fiber Identification (2019) — 22 citations