Li Liu

Computer Vision and Pattern Recognition · 10 papers · 2009–2021

A researcher in the Science corpus: 10 papers; trusts 1,499 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 685 citations into it; #6,716 of 21,575 by trust here, #4,690 by citations
• Artificial Intelligence — 191 citations into it
• Computational Mechanics — 110 citations into it
• Aerospace Engineering — 92 citations into it
• Geology — 68 citations into it
• Model Architectures — 54 citations into it
• Media Technology — 51 citations into it
• Environmental Engineering — 44 citations into it

Whom Li Liu trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Andrew Zisserman
5. Geoffrey E. Hinton
6. David G. Lowe
7. Christian Szegedy
8. Karen Simonyan
9. Yoshua Bengio
10. Yann LeCun

Who trusts Li Liu overall

1. Anne Humeau-Heurtier
2. Paul W. Fieguth
3. Octavio Loyola-González
4. Fan Hu
5. Zhuo Su
6. Shiyong Cui
7. Matti Pietikäinen
8. Yulan Guo
9. Songyang Lao
10. Weisheng Dong

Papers from Li Liu's perspective

Ordered by how strongly the researchers Li Liu 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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Deep Learning for Generic Object Detection: A Survey (2018) — 2,829 citations
• Texture Classification from Random Features (2012) — 321 citations
• Extended local binary patterns for texture classification (2012) — 339 citations
• Median Robust Extended Local Binary Pattern for Texture Classification (2016) — 421 citations
• Pixel Difference Networks for Efficient Edge Detection (2021) — 527 citations
• Deep Learning for 3D Point Clouds: A Survey (2019) — 2,282 citations
• From BoW to CNN: Two Decades of Texture Representation for Texture Classification (2018) — 360 citations
• Local binary features for texture classification: Taxonomy and experimental study (2017) — 353 citations
• Extended local binary patterns for face recognition (2016) — 132 citations
• An Adaptive and Fast CFAR Algorithm Based on Automatic Censoring for Target Detection in High-Resolution SAR Images (2009) — 334 citations