Ji Qi

Computer Vision and Pattern Recognition · with Li · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 355 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 127 citations into it
• Artificial Intelligence — 91 citations into it
• Representation & Self-Supervised Learning — 68 citations into it
• Media Technology — 43 citations into it
• Multimodal Learning — 11 citations into it
• Signal Processing — 9 citations into it

Whom Ji Qi trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Yoshua Bengio
6. Yann LeCun
7. Diederik P. Kingma
8. Andrew Zisserman
9. Ilya Sutskever
10. Karen Simonyan

Who trusts Ji Qi overall

1. Chao Tao

Papers from Ji Qi's perspective

Ordered by how strongly the researchers Ji 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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

• Remote Sensing Image Scene Classification With Self-Supervised Paradigm Under Limited Labeled Samples (2020) — 112 citations
• Self-Supervised Remote Sensing Feature Learning: Learning Paradigms, Challenges, and Future Works (2022) — 91 citations