Kunpeng Song

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 217 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it; #14,864 of 21,575 by trust here, #16,367 by citations
• Generative Models — 37 citations into it; #1,407 of 1,956 by trust here, #1,651 by citations
• Artificial Intelligence — 19 citations into it
• Media Technology — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Kunpeng Song trusts overall

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

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

Who trusts Kunpeng Song overall

1. Yang Song
2. Qinsheng Zhang
3. Axel Sauer

Papers from Kunpeng Song's perspective

Ordered by how strongly the researchers Kunpeng Song 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. GENERATIVE ADVERSARIAL NETS
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis (2021) — 316 citations