Qifeng Chen

Computer Vision and Pattern Recognition · with Zhang · 2022

A researcher in the Science corpus: 2 papers; trusts 154 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 99 citations into it
• Generative Models — 65 citations into it
• Artificial Intelligence — 31 citations into it
• Statistical and Nonlinear Physics — 13 citations into it

Whom Qifeng Chen trusts overall

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

1. Jonathan Ho
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Kaiming He
5. Alex Krizhevsky
6. Yoshua Bengio
7. Prafulla Dhariwal
8. Yann LeCun
9. Karen Simonyan
10. Ilya Sutskever

Papers from Qifeng Chen's perspective

Ordered by how strongly the researchers Qifeng Chen 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. GENERATIVE ADVERSARIAL NETS
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Pretraining is All You Need for Image-to-Image Translation (2022) — 216 citations
• RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion (2022) — 393 citations