Guangyi Chen

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 326 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 129 citations into it
• Artificial Intelligence — 79 citations into it
• Generative Models — 17 citations into it
• Automotive Engineering — 16 citations into it
• Model Architectures — 14 citations into it

Whom Guangyi Chen trusts overall

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

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

Papers from Guangyi Chen's perspective

Ordered by how strongly the researchers Guangyi 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
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

• DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting (2021) — 830 citations
• Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion (2022) — 402 citations
• Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification (2021) — 353 citations