Younghyun Jo
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 85 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it; #16,748 of 21,575 by trust here, #13,815 by citations
- Artificial Intelligence — 8 citations into it
- Model Architectures — 6 citations into it
- Generative Models — 5 citations into it
Whom Younghyun Jo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Sergey Ioffe
- Yoshua Bengio
- X. Zhang
- Christian Szegedy
- Yann LeCun
- Shaoqing Ren
Who trusts Younghyun Jo overall
- Kelvin C. K. Chan
- Xintao Wang
- Muhammad Haris
- Mengyao Zhai
- Xudong Lin
- Yapeng Tian
- Peng Yi
- Xihui Liu
- Jingyun Liang
- Seungjun Nah
Papers from Younghyun Jo's perspective
Ordered by how strongly the researchers Younghyun Jo 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions