Miaojing Shi

Computer Vision and Pattern Recognition · with Caesar · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 298 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it
• Artificial Intelligence — 37 citations into it
• Evaluation & Benchmarks — 11 citations into it

Whom Miaojing Shi trusts overall

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

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

Who trusts Miaojing Shi overall

1. Jisoo Jeong
2. Peng Tang
3. Seungeui Lee
4. Xinggang Wang
5. Junsuk Choe

Papers from Miaojing Shi's perspective

Ordered by how strongly the researchers Miaojing Shi trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Weakly Supervised Object Localization Using Things and Stuff Transfer (2017) — 75 citations
• Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model (2022) — 465 citations