Sook Yoon
Computer Vision and Pattern Recognition · 2017–2022
A researcher in the Science corpus: 2 papers; trusts 335 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 87 citations into it
- Artificial Intelligence — 57 citations into it
- Representation & Self-Supervised Learning — 18 citations into it
- Model Architectures — 13 citations into it
- Optimization & Training — 11 citations into it
- Plant Science — 7 citations into it; #5,125 of 8,232 by trust here, #3,226 by citations
- Media Technology — 6 citations into it
Whom Sook Yoon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- David G. Lowe
- Ross B. Girshick
- Yoshua Bengio
- Christian Szegedy
- Shaoqing Ren
- Yann LeCun
- Diederik P. Kingma
Who trusts Sook Yoon overall
Papers from Sook Yoon's perspective
Ordered by how strongly the researchers Sook Yoon trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A Comprehensive Survey of Image Augmentation Techniques for Deep Learning (2022) — 642 citations
- A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition (2017) — 1,358 citations