Ruofeng Tong

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 265 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Artificial Intelligence — 27 citations into it
• Model Architectures — 9 citations into it
• Media Technology — 8 citations into it

Whom Ruofeng Tong trusts overall

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

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

Papers from Ruofeng Tong's perspective

Ordered by how strongly the researchers Ruofeng Tong 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation (2020) — 2,706 citations
• Mixed Transformer U-Net for Medical Image Segmentation (2021) — 424 citations
• Illumination-aware Faster R-CNN for Robust Multispectral Pedestrian Detection (2018) — 490 citations