Yipeng Hu

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it

Whom Yipeng Hu trusts overall

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

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

Who trusts Yipeng Hu overall

1. Xin Yi
2. Christian F. Baumgartner
3. Guha Balakrishnan
4. Hoo-Chang Shin

Papers from Yipeng Hu's perspective

Ordered by how strongly the researchers Yipeng Hu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Automatic Multi-organ Segmentation on Abdominal CT with Dense V-networks (2018) — 662 citations
• NiftyNet: a deep-learning platform for medical imaging (2017) — 565 citations
• Weakly-supervised convolutional neural networks for multimodal image registration (2018) — 442 citations
• MONAI: An open-source framework for deep learning in healthcare (2022) — 996 citations
• Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks (2017) — 16 citations