Yuan Gong

Computer Vision and Pattern Recognition · with Yuan · 2021

A researcher in the Science corpus: 1 paper; trusts 99 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Artificial Intelligence — 21 citations into it
• Model Architectures — 9 citations into it

Whom Yuan Gong trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Tsung-Yi Lin
4. Geoffrey E. Hinton
5. Shaoqing Ren
6. Alex Krizhevsky
7. Piotr Doll'ar
8. Yann LeCun
9. Yoshua Bengio
10. Karen Simonyan

Papers from Yuan Gong's perspective

Ordered by how strongly the researchers Yuan Gong 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Going deeper with convolutions
9. Long Short-Term Memory
10. Microsoft COCO: Common Objects in Context

Their papers

• Focal and Global Knowledge Distillation for Detectors (2021) — 385 citations