Fubo Qi

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 207 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 11 citations into it

Whom Fubo Qi trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Jifeng Dai
4. Tsung-Yi Lin
5. Shaoqing Ren
6. Alex Krizhevsky
7. Geoffrey E. Hinton
8. Joseph Redmon
9. Yann LeCun
10. Karen Simonyan

Papers from Fubo Qi's perspective

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

Their papers

• Explicit Shape Encoding for Real-Time Instance Segmentation (2019) — 113 citations