Chia-Jung Chou
Computer Vision and Pattern Recognition · with Chen · 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; #12,126 of 21,575 by trust here, #15,529 by citations
- Human-Computer Interaction — 11 citations into it
- Artificial Intelligence — 10 citations into it; #19,380 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 Chia-Jung Chou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leonid Pishchulin
- Mykhaylo Andriluka
- Geoffrey E. Hinton
- Sam Johnson
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Yoshua Bengio
- Ross B. Girshick
- Diederik P. Kingma
Who trusts Chia-Jung Chou overall
- Bin Xiao
- Diogo Carbonera Luvizon
- Xiao Sun
- Adrian Bulat
- Xi Peng
- Xuecheng Nie
- Wayne Wu
- Tsu-Jui Fu
- Yichen Wei
- David Picard
Papers from Chia-Jung Chou's perspective
Ordered by how strongly the researchers Chia-Jung Chou 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
- 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Self Adversarial Training for Human Pose Estimation (2017) — 172 citations