Hyung Gil Hong
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 19 citations into it; #14,813 of 21,575 by trust here, #15,955 by citations
- Biomedical Engineering — 7 citations into it; #5,641 of 10,734 by trust here, #7,854 by citations
Whom Hyung Gil Hong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Wei Li
- Navneet Dalal
- Yann LeCun
- Geoffrey E. Hinton
- Ilya Sutskever
- Yoshua Bengio
- Xiaogang Wang
- L. Eon Bottou
- Xucong Zhang
Who trusts Hyung Gil Hong overall
Papers from Hyung Gil Hong's perspective
Ordered by how strongly the researchers Hyung Gil Hong trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Histograms of oriented gradients for human detection
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- 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)