Minju Jung

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 144 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it; #6,895 of 21,575 by trust here, #6,873 by citations
• Artificial Intelligence — 32 citations into it; #8,560 of 35,345 by trust here, #8,999 by citations
• Model Architectures — 16 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Optimization & Training — 10 citations into it

Whom Minju Jung trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. L. Eon Bottou
6. Ilya Sutskever
7. Karen Simonyan
8. Diederik P. Kingma
9. Ian J. Goodfellow
10. Ruslan Salakhutdinov

Who trusts Minju Jung overall

1. German Ignacio Parisi
2. Jung-Hun Hwang
3. Marc Masana
4. Jun Tani
5. Fei Ye
6. Jiangpeng He
7. Gyuhak Kim
8. Zheda Mai
9. Stefan Wermter
10. Saihui Hou

Papers from Minju Jung's perspective

Ordered by how strongly the researchers Minju Jung 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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

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
• Self-Organization of Spatio-Temporal Hierarchy via Learning of Dynamic Visual Image Patterns on Action Sequences (2015) — 33 citations