Chunfeng Song

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 574 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 99 citations into it; #15,807 of 21,575 by trust here, #11,721 by citations
• Artificial Intelligence — 33 citations into it
• Biomedical Engineering — 18 citations into it
• Model Architectures — 14 citations into it
• Generative Models — 10 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Optimization & Training — 7 citations into it
• Signal Processing — 5 citations into it

Whom Chunfeng Song 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. Diederik P. Kingma
6. Ilya Sutskever
7. Karen Simonyan
8. Yoshua Bengio
9. Yann LeCun
10. Liang Zheng

Who trusts Chunfeng Song overall

1. Kuan Zhu
2. Tianyuan Yu
3. Mang Ye
4. Yulin Li
5. Rui Hou
6. Tianlong Chen
7. Guan'an Wang
8. Jinming Liu
9. Tao A. Xiang
10. Yongxin Yang

Papers from Chunfeng Song's perspective

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

Their papers

• Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation (2020) — 218 citations
• Mask-Guided Contrastive Attention Model for Person Re-identification (2018) — 617 citations
• The Devil Is in the Details: Window-based Attention for Image Compression (2022) — 347 citations