Jingjing Fei

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Optimization & Training — 6 citations into it

Whom Jingjing Fei trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yoshua Bengio
4. Alex Krizhevsky
5. Yann LeCun
6. Ross B. Girshick
7. Diederik P. Kingma
8. Jia Deng
9. Ilya Sutskever
10. Liang-Chieh Chen

Papers from Jingjing Fei's perspective

Ordered by how strongly the researchers Jingjing Fei 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. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels (2022) — 511 citations