Changqing Yin

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 82 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 25 citations into it
• Model Architectures — 5 citations into it

Whom Changqing Yin trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Piotr Doll'ar
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Tsung-Yi Lin

Papers from Changqing Yin's perspective

Ordered by how strongly the researchers Changqing Yin 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: A large-scale hierarchical image database
3. ImageNet classification with deep convolutional neural networks
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. Microsoft COCO: Common Objects in Context
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Equalization Loss for Long-Tailed Object Recognition (2020) — 556 citations