Hyounghun Kim

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 255 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it; #16,921 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 39 citations into it
• Multimodal Learning — 28 citations into it; #924 of 1,211 by trust here, #1,104 by citations
• Natural Language Processing — 14 citations into it

Whom Hyounghun Kim trusts overall

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

1. Diederik P. Kingma
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Alex Krizhevsky
6. Kaiming He
7. Sepp Hochreiter
8. Yoshua Bengio
9. Ilya Sutskever
10. Yann LeCun

Who trusts Hyounghun Kim overall

1. Zineng Tang
2. Seonhoon Kim
3. Yue Wang
4. Jie Lei
5. Seohyeong Jeong
6. Shafiq R. Joty
7. Antoine Yang

Papers from Hyounghun Kim's perspective

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

Their papers

• Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA (2020) — 31 citations
• Modality-Balanced Models for Visual Dialogue (2020) — 29 citations