Kyungsu Kim

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 371 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 89 citations into it
• Artificial Intelligence — 68 citations into it
• Multimodal Learning — 38 citations into it
• Natural Language Processing — 32 citations into it
• Question Answering & Reading Comprehension — 18 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Model Architectures — 9 citations into it
• Optimization & Training — 7 citations into it

Whom Kyungsu Kim trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yoshua Bengio
7. Shaoqing Ren
8. Yann LeCun
9. Ilya Sutskever
10. Andrew Zisserman

Who trusts Kyungsu Kim overall

1. Junyeong Kim

Papers from Kyungsu Kim's perspective

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

Their papers

• Learning Not to Learn: Training Deep Neural Networks With Biased Data (2018) — 468 citations
• Modality Shifting Attention Network for Multi-Modal Video Question Answering (2020) — 80 citations
• Progressive Attention Memory Network for Movie Story Question Answering (2019) — 80 citations
• Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering (2019) — 28 citations