Chunfeng Lian

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 17 citations into it
• Radiology, Nuclear Medicine and Imaging — 12 citations into it
• Neurology — 9 citations into it
• Biomedical Engineering — 5 citations into it

Whom Chunfeng Lian trusts overall

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

1. Ruslan Salakhutdinov
2. John Ashburner
3. Corinna Cortes
4. John G. Sled
5. Geoffrey E. Hinton
6. Anil K. Jain
7. Christos Davatzikos
8. Yongyue Zhang
9. Ayhan Demiriz
10. Mingxia Liu

Who trusts Chunfeng Lian overall

1. Erkun Yang

Papers from Chunfeng Lian's perspective

Ordered by how strongly the researchers Chunfeng Lian 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer’s Disease Diagnosis using Structural MRI (2018) — 490 citations
• Deep Bayesian Hashing with Center Prior for Multi-modal Neuroimage Retrieval (2020) — 25 citations