Kiwon Yun
Computer Vision and Pattern Recognition · 2012–2013
A researcher in the Science corpus: 2 papers; trusts 45 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 41 citations into it; #7,463 of 21,575 by trust here, #7,750 by citations
- Cognitive Neuroscience — 8 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Human-Computer Interaction — 6 citations into it; #2,187 of 2,253 by trust here, #1,515 by citations
Whom Kiwon Yun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jianguo Zhang
- J. Henderson
- Pedro F. Felzenszwalb
- Jia Deng
- Alex Krizhevsky
- Ross B. Girshick
- Geoffrey E. Hinton
- Michael S. Ryoo
- Andrew Zisserman
- Zhibiao Wu
Who trusts Kiwon Yun overall
- Jun Liu
- Qiuhong Ke
- De-An Huang
- Cuiling Lan
- Pengfei Zhang
- Junliang Xing
- Hongsong Wang
- Zhiyuan Shi
- Yusuke Sugano
- Hichem Sahbi
Papers from Kiwon Yun's perspective
Ordered by how strongly the researchers Kiwon Yun 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Studying Relationships between Human Gaze, Description, and Computer Vision (2013) — 88 citations
- Two-person interaction detection using body-pose features and multiple instance learning (2012) — 540 citations