Lu Ren

Computer Vision and Pattern Recognition · 2009–2011

A researcher in the Science corpus: 2 papers; trusts 66 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Computational Mechanics — 25 citations into it
• Artificial Intelligence — 16 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Lu Ren trusts overall

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

1. Michael I. Jordan
2. David M. Blei
3. Li Fei-Fei
4. Li-Jia Li
5. Geoffrey E. Hinton
6. Andrew Zisserman
7. Alex Krizhevsky
8. Greg Mori
9. Radford M. Neal
10. Yoshua Bengio

Papers from Lu Ren's perspective

Ordered by how strongly the researchers Lu Ren 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images (2011) — 390 citations
• A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation (2009) — 54 citations