Yong Man Ro

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 122 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #17,436 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 16 citations into it; #28,108 of 35,345 by trust here, #28,481 by citations
• Model Architectures — 7 citations into it

Whom Yong Man Ro trusts overall

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

1. Karen Simonyan
2. Diederik P. Kingma
3. Andrew Zisserman
4. Alex Krizhevsky
5. Chin-Yew Lin
6. Geoffrey E. Hinton
7. Kaiming He
8. Jia Deng
9. Jimmy Ba
10. Ilya Sutskever

Who trusts Yong Man Ro overall

1. Amitojdeep Singh
2. Vasudevan Lakshminarayanan
3. Sourya Sengupta

Papers from Yong Man Ro's perspective

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

Their papers

• Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis (2019) — 44 citations
• ICADx: interpretable computer aided diagnosis of breast masses (2018) — 31 citations