Jiaming Qi

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Artificial Intelligence — 9 citations into it

Whom Jiaming Qi trusts overall

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

1. Joseph Redmon
2. Kaiming He
3. Alex Krizhevsky
4. Ross B. Girshick
5. Geoffrey E. Hinton
6. Ali Farhadi
7. Ilya Sutskever
8. Ilya Loshchilov
9. Tsung-Yi Lin
10. X. Zhang

Papers from Jiaming Qi's perspective

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

Their papers

• A Real-Time Detection Algorithm for Kiwifruit Defects Based on YOLOv5 (2021) — 300 citations