Yong Chen

Computer Vision and Pattern Recognition · with Chen · 2023

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Computer Graphics and Computer-Aided Design — 23 citations into it
• Computational Mechanics — 18 citations into it
• Generative Models — 10 citations into it

Whom Yong Chen trusts overall

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

1. Jonathan T. Barron
2. Diederik P. Kingma
3. Ajay Jain
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Ben Poole
7. Kaiming He
8. Yoshua Bengio
9. Ben Mildenhall
10. Tianchang Shen

Papers from Yong Chen's perspective

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

Their papers

• Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation (2023) — 814 citations
• Development of a Definition of Postacute Sequelae of SARS-CoV-2 Infection. (2023) — 670 citations