Jeongwoo Ju

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 72 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #6,896 of 21,575 by trust here, #6,873 by citations
• Artificial Intelligence — 22 citations into it; #9,914 of 35,345 by trust here, #9,760 by citations
• Model Architectures — 13 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Optimization & Training — 7 citations into it

Whom Jeongwoo Ju trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Benjamin Goodrich
4. Yann LeCun
5. Yoshua Bengio
6. Ian J. Goodfellow
7. Nitish Srivastava
8. Ilya Sutskever
9. Ruslan Salakhutdinov
10. Christian Szegedy

Who trusts Jeongwoo Ju overall

1. Marc Masana
2. Fei Ye
3. Jiangpeng He
4. Gyuhak Kim
5. Zheda Mai
6. Saihui Hou
7. Adrian G. Bors
8. Ramakanth Pasunuru
9. Matthias De Lange
10. Yue Wu

Papers from Jeongwoo Ju's perspective

Ordered by how strongly the researchers Jeongwoo Ju 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Less-forgetting Learning in Deep Neural Networks (2016) — 242 citations
• Less-forgetful Learning for Domain Expansion in Deep Neural Networks (2017) — 78 citations