Jun Huan

Computer Vision and Pattern Recognition · with Wang · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 370 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it; #17,040 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 38 citations into it; #27,614 of 35,345 by trust here, #31,361 by citations
• Generative Models — 23 citations into it
• Model Architectures — 18 citations into it
• Optimization & Training — 12 citations into it
• Media Technology — 9 citations into it

Whom Jun Huan trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yoshua Bengio
6. Yann LeCun
7. Karen Simonyan
8. Ilya Sutskever
9. Christian Szegedy
10. Ian J. Goodfellow

Who trusts Jun Huan overall

1. Nicholas Carlini
2. Chen Gao
3. Qing Sun

Papers from Jun Huan's perspective

Ordered by how strongly the researchers Jun Huan 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Data Dropout: Optimizing Training Data for Convolutional Neural Networks (2018) — 65 citations
• AGAN: Towards Automated Design of Generative Adversarial Networks (2019) — 41 citations