Yan Liu

Computer Vision and Pattern Recognition · International Journal of Computer Vision · 2013–2018

A researcher in the Science corpus: 5 papers; trusts 275 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 107 citations into it; #17,415 of 21,575 by trust here, #11,721 by citations
• Computational Mechanics — 37 citations into it
• Media Technology — 33 citations into it
• Artificial Intelligence — 31 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Model Architectures — 9 citations into it
• Biomedical Engineering — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Yan Liu trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yoshua Bengio
4. Alex Krizhevsky
5. Karen Simonyan
6. Jessica J. Fridrich
7. Yann LeCun
8. Andrew Zisserman
9. Diederik P. Kingma
10. E.J. Candes

Who trusts Yan Liu overall

1. Billie F. Spencer Jr.
2. Vedhus Hoskere
3. Yasutaka Narazaki

Papers from Yan Liu's perspective

Ordered by how strongly the researchers Yan 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. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep residual learning for image steganalysis (2018) — 421 citations
• On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization (2016) — 468 citations
• Weighted Schatten $p$ -Norm Minimization for Image Denoising and Background Subtraction (2015) — 414 citations
• From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms (2014) — 389 citations
• Latent feature learning in social media network (2013) — 33 citations