Tony C. W. Mok
Computer Vision and Pattern Recognition · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 73 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 29 citations into it; #11,994 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 Tony C. W. Mok trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Brian B. Avants
- Andrew L. Maas
- Bruce Fischl
- Kaiming He
- Tero Karras
- Guha Balakrishnan
- Adrian V. Dalca
- Geoffrey E. Hinton
- Fausto Milletarì
- Ting-Chun Wang
Who trusts Tony C. W. Mok overall
Papers from Tony C. W. Mok's perspective
Ordered by how strongly the researchers Tony C. W. Mok trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge