Dae Ha Kim
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 125 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 18 citations into it; #9,996 of 21,575 by trust here, #13,815 by citations
- Artificial Intelligence — 11 citations into it; #15,635 of 35,345 by trust here, #20,836 by citations
- Model Architectures — 6 citations into it
- Efficiency & Compression — 5 citations into it
Whom Dae Ha Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Karen Simonyan
- Andrew Zisserman
- Ilya Sutskever
- Ross B. Girshick
- Diederik P. Kingma
Who trusts Dae Ha Kim overall
- Lin Wang
- Mingkuan Yuan
- Anbang Yao
- Seunghyun Lee
- Mengya Gao
- Jianping Gou
- Cheng Chen
- Qiankun Gao
- Linfeng Zhang
- Muhamad Risqi U. Saputra
Papers from Dae Ha Kim's perspective
Ordered by how strongly the researchers Dae Ha Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Self-supervised Knowledge Distillation Using Singular Value Decomposition (2018) — 153 citations