Jae Woong Soh

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 117 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Media Technology — 23 citations into it
• Artificial Intelligence — 11 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Meta & Continual Learning — 5 citations into it

Whom Jae Woong Soh trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Oriol Vinyals
5. Jimmy Ba
6. Kaiming He
7. Yoshua Bengio
8. Yann LeCun
9. Ilya Sutskever
10. Tomer Michaeli

Who trusts Jae Woong Soh overall

1. Kai Zhang
2. Honggang Chen
3. Longguang Wang
4. Yawei Li
5. Xiaohai He
6. Yingqian Wang

Papers from Jae Woong Soh's perspective

Ordered by how strongly the researchers Jae Woong Soh trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Meta-Transfer Learning for Zero-Shot Super-Resolution (2020) — 320 citations