Qingyun Fang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 11 citations into it
• Multimodal Learning — 5 citations into it

Whom Qingyun Fang trusts overall

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

1. Kaiming He
2. Tsung-Yi Lin
3. Ross B. Girshick
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Alexey Bochkovskiy
7. Linwei Ye
8. Ilya Sutskever
9. Valentin Gabeur
10. Shaoqing Ren

Papers from Qingyun Fang's perspective

Ordered by how strongly the researchers Qingyun Fang 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. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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

• Cross-Modality Fusion Transformer for Multispectral Object Detection (2021) — 367 citations