Julia Chae

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 174 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it; #18,593 of 21,575 by trust here, #13,815 by citations
• Aerospace Engineering — 20 citations into it
• Artificial Intelligence — 8 citations into it

Whom Julia Chae trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Liang-Chieh Chen
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Ross B. Girshick
7. Yoshua Bengio
8. Yann LeCun
9. Thomas Roddick
10. Karen Simonyan

Who trusts Julia Chae overall

1. Jian‐Yuan Sun
2. Zhengbiao Zhu

Papers from Julia Chae's perspective

Ordered by how strongly the researchers Julia Chae 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Categorical Depth Distribution Network for Monocular 3D Object Detection (2021) — 641 citations