Jaechul Kim
Computer Vision and Pattern Recognition · 2009–2013
A researcher in the Science corpus: 4 papers; trusts 503 researchers and is trusted by 1,218 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 58 citations into it; #1,199 of 21,575 by trust here, #4,690 by citations
- Artificial Intelligence — 15 citations into it; #4,762 of 35,345 by trust here, #14,181 by citations
- Aerospace Engineering — 9 citations into it
Whom Jaechul Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Antonio Torralba
- David G. Lowe
- Jitendra Malik
- Ce Liu
- João Carreira
- Geoffrey E. Hinton
- Pedro F. Felzenszwalb
- Alex Krizhevsky
- Kaiming He
- Andrew Zisserman
Who trusts Jaechul Kim overall
- Wenguan Wang
- Radu Tudor Ionescu
- Jordi Pont-Tuset
- Yang Cong
- Yong Jae Lee
- Alexey Dosovitskiy
- Ahmad Humayun
- Weixin Luo
- Wen Liu
- Jitendra Malik
Papers from Jaechul Kim's perspective
Ordered by how strongly the researchers Jaechul 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Key-segments for video object segmentation (2011) — 512 citations
- Deformable Spatial Pyramid Matching for Fast Dense Correspondences (2013) — 266 citations
- Shape Sharing for Object Segmentation (2012) — 80 citations
- Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates (2009) — 801 citations