Jiamin Liu

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 20 citations into it; #32,336 of 35,345 by trust here, #8,810 by citations

Whom Jiamin Liu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Yann LeCun
5. Karen Simonyan
6. Matthew D. Zeiler
7. Dan Claudiu Ciresan
8. Nitish Srivastava
9. Yoshua Bengio
10. Ross B. Girshick

Who trusts Jiamin Liu overall

1. Le Lu

Papers from Jiamin Liu's perspective

Ordered by how strongly the researchers Jiamin Liu 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. Gradient-based learning applied to document recognition
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation (2015) — 870 citations
• Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation (2015) — 585 citations
• A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations (2014) — 580 citations