Jongse Park

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 59 citations into it

Whom Jongse Park trusts overall

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

1. Alex Krizhevsky
2. Yu-hsin Chen
3. Geoffrey E. Hinton
4. Sepp Hochreiter
5. Yann LeCun
6. Yoshua Bengio
7. J. Urgen Schmidhuber
8. Shaoli Liu
9. Kaiming He
10. Karen Simonyan

Who trusts Jongse Park overall

1. Kuan Wang
2. Md Maruf Hossain Shuvo

Papers from Jongse Park's perspective

Ordered by how strongly the researchers Jongse 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Going deeper with convolutions
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Caffe: Convolutional Architecture for Fast Feature Embedding
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network (2017) — 561 citations
• From high-level deep neural models to FPGAs (2016) — 500 citations