Simiao Yu
Computer Vision and Pattern Recognition · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 188 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 55 citations into it
- Generative Models — 36 citations into it
- Artificial Intelligence — 16 citations into it
- Media Technology — 10 citations into it
- Model Architectures — 7 citations into it
- Optimization & Training — 7 citations into it
Whom Simiao Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Sergey Ioffe
- Alex Krizhevsky
- Kaiming He
- Karen Simonyan
- Scott E. Reed
- Yoshua Bengio
- Andrew Zisserman
- Christian Szegedy
Who trusts Simiao Yu overall
- Weihao Xia
- Jiadong Liang
- Bowen Li
- Tsu-Jui Fu
- Seonghyeon Nam
- Hao Wang
- Or Patashnik
- Kai Zhang
- Hongchen Tan
Papers from Simiao Yu's perspective
Ordered by how strongly the researchers Simiao Yu 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Semantic Image Synthesis via Adversarial Learning (2017) — 278 citations
- DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction (2018) — 985 citations