Kihwan Kim

Computer Vision and Pattern Recognition · with Kautz · 2015–2019

A researcher in the Science corpus: 5 papers; trusts 387 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 122 citations into it; #12,131 of 21,575 by trust here, #6,281 by citations
• Aerospace Engineering — 41 citations into it
• Artificial Intelligence — 26 citations into it
• Human-Computer Interaction — 14 citations into it; #944 of 2,253 by trust here, #523 by citations
• Model Architectures — 14 citations into it
• 3D Vision & Pose — 13 citations into it; #537 of 689 by trust here, #437 by citations
• Media Technology — 11 citations into it
• Optimization & Training — 11 citations into it

Whom Kihwan Kim trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Kaiming He
5. Karen Simonyan
6. Ilya Sutskever
7. Yann LeCun
8. Yoshua Bengio
9. Andrew Zisserman
10. David G. Lowe

Who trusts Kihwan Kim overall

1. Runpeng Cui
2. Hamid Reza Vaezi Joze
3. Zhengqin Li

Papers from Kihwan Kim's perspective

Ordered by how strongly the researchers Kihwan Kim 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation (2018) — 640 citations
• Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks (2016) — 672 citations
• Geometry-Aware Learning of Maps for Camera Localization (2017) — 444 citations
• Neural Inverse Rendering of an Indoor Scene From a Single Image (2019) — 178 citations
• Hand gesture recognition with 3D convolutional neural networks (2015) — 495 citations