Jui-Ting Chien

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 224 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it; #12,125 of 21,575 by trust here, #15,529 by citations
• Human-Computer Interaction — 11 citations into it
• Artificial Intelligence — 10 citations into it; #19,379 of 35,345 by trust here, #23,731 by citations
• Generative Models — 10 citations into it
• Biomedical Engineering — 8 citations into it
• 3D Vision & Pose — 5 citations into it

Whom Jui-Ting Chien trusts overall

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

1. Mykhaylo Andriluka
2. Leonid Pishchulin
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Sam Johnson
6. Kaiming He
7. Yann LeCun
8. Ross B. Girshick
9. Yoshua Bengio
10. Diederik P. Kingma

Who trusts Jui-Ting Chien overall

1. Bin Xiao
2. Diogo Carbonera Luvizon
3. Xiao Sun
4. Adrian Bulat
5. Xi Peng
6. Xuecheng Nie
7. Wayne Wu
8. Tsu-Jui Fu

Papers from Jui-Ting Chien's perspective

Ordered by how strongly the researchers Jui-Ting Chien 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Self Adversarial Training for Human Pose Estimation (2017) — 172 citations