Dongdong Yu

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 80 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 77 citations into it
• Model Architectures — 12 citations into it

Whom Dongdong Yu trusts overall

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

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

Papers from Dongdong Yu's perspective

Ordered by how strongly the researchers Dongdong Yu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• ByteTrack: Multi-Object Tracking by Associating Every Detection Box (2021) — 2,498 citations
• Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning (2019) — 369 citations
• Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification (2017) — 615 citations