Albert C. S. Chung

Computer Vision and Pattern Recognition · 2009–2020

A researcher in the Science corpus: 3 papers; trusts 84 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #11,993 of 21,575 by trust here, #20,271 by citations
• Generative Models — 10 citations into it
• Radiology, Nuclear Medicine and Imaging — 9 citations into it
• Artificial Intelligence — 7 citations into it
• Biomedical Engineering — 5 citations into it

Whom Albert C. S. Chung trusts overall

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

1. Brian B. Avants
2. Andrew L. Maas
3. Bruce Fischl
4. Kaiming He
5. Tero Karras
6. Guha Balakrishnan
7. Stéphane Mallat
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Adrian V. Dalca

Who trusts Albert C. S. Chung overall

1. Arvid Lundervold
2. Li Liu
3. Xin Yi
4. Paul W. Fieguth

Papers from Albert C. S. Chung's perspective

Ordered by how strongly the researchers Albert C. S. Chung 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks (2020) — 365 citations
• Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks (2018) — 99 citations
• Dominant Local Binary Patterns for Texture Classification (2009) — 845 citations