Hyojin Park

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 308 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it; #13,743 of 21,575 by trust here, #8,952 by citations
• Artificial Intelligence — 24 citations into it
• Model Architectures — 12 citations into it
• Optimization & Training — 6 citations into it

Whom Hyojin Park trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Sergey Ioffe
6. Christian Szegedy
7. Wei David Liu
8. Karen Simonyan
9. Yoshua Bengio
10. Yann LeCun

Who trusts Hyojin Park overall

1. Zuoxin Li
2. Zhanchao Huang
3. Seung-Wook Kim
4. Peng Jiang

Papers from Hyojin Park's perspective

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

Their papers

• A Comprehensive Overhaul of Feature Distillation (2019) — 759 citations
• Enhancement of SSD by concatenating feature maps for object detection (2017) — 336 citations