Chang Liu

Computer Vision and Pattern Recognition · with Chen · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Model Architectures — 14 citations into it
• Artificial Intelligence — 13 citations into it

Whom Chang Liu trusts overall

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

1. Yoshua Bengio
2. Alex Krizhevsky
3. Kaiming He
4. Geoffrey E. Hinton
5. Yann LeCun
6. Ilya Sutskever
7. Christian Szegedy
8. Matthew D. Zeiler
9. Ross B. Girshick
10. Karen Simonyan

Who trusts Chang Liu overall

1. Aaqib Saeed
2. Amaia Salvador
3. M. Mohammadi
4. Tanir Ozcelebi

Papers from Chang Liu's perspective

Ordered by how strongly the researchers Chang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment (2016) — 284 citations
• A New Deep Learning-Based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure (2018) — 297 citations