Minsung Hyun

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 109 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #18,812 of 21,575 by trust here, #19,766 by citations
• Artificial Intelligence — 22 citations into it; #30,658 of 35,345 by trust here, #31,361 by citations
• Model Architectures — 5 citations into it

Whom Minsung Hyun trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Jimmy Ba
5. Ross B. Girshick
6. Shaoqing Ren
7. Yoshua Bengio
8. Yann LeCun
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Minsung Hyun overall

1. Lin Wang
2. Jianping Gou

Papers from Minsung Hyun's perspective

Ordered by how strongly the researchers Minsung Hyun 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. ImageNet Large Scale Visual Recognition Challenge
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Feature Fusion for Online Mutual Knowledge Distillation (2019) — 110 citations