Jaekwon Yoo

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 128 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #16,740 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 41 citations into it; #27,324 of 35,345 by trust here, #26,682 by citations
• Representation & Self-Supervised Learning — 16 citations into it; #2,567 of 3,145 by trust here, #2,757 by citations

Whom Jaekwon Yoo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Karen Simonyan
6. Yann LeCun
7. Andrew Zisserman
8. Mingsheng Long
9. Sergey Ioffe
10. Ross B. Girshick

Who trusts Jaekwon Yoo overall

1. Jonathan Munro

Papers from Jaekwon Yoo's perspective

Ordered by how strongly the researchers Jaekwon Yoo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (2019) — 209 citations