Jenny Yuen

Computer Vision and Pattern Recognition · 2008–2011

A researcher in the Science corpus: 7 papers; trusts 1,079 researchers and is trusted by 3,518 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 189 citations into it; #574 of 21,575 by trust here, #2,001 by citations
• Artificial Intelligence — 29 citations into it; #9,232 of 35,345 by trust here, #19,439 by citations
• Media Technology — 26 citations into it
• Aerospace Engineering — 20 citations into it; #93 of 6,421 by trust here, #251 by citations
• Evaluation & Benchmarks — 19 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Computer Graphics and Computer-Aided Design — 9 citations into it
• 3D Vision & Pose — 7 citations into it

Whom Jenny Yuen trusts overall

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

1. Antonio Torralba
2. Pedro F. Felzenszwalb
3. David G. Lowe
4. Svetlana Lazebnik
5. Jitendra Malik
6. Andrew Zisserman
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Kaiming He
10. Alexei A. Efros

Who trusts Jenny Yuen overall

1. Ce Liu
2. Jacob Walker
3. Abhinav Kumar Gupta
4. Joseph Tighe
5. Antonio Torralba
6. Martial Hebert
7. Svetlana Lazebnik
8. Pedro H. O. Pinheiro
9. Jitendra Malik
10. Chelsea Finn

Papers from Jenny Yuen's perspective

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

Their papers

• SIFT Flow: Dense Correspondence across Scenes and Its Applications (2011) — 1,784 citations
• Nonparametric Scene Parsing via Label Transfer (2011) — 398 citations
• SIFT Flow: Dense Correspondence across Different Scenes (2008) — 748 citations
• Nonparametric scene parsing: Label transfer via dense scene alignment (2009) — 364 citations
• A Data-Driven Approach for Event Prediction (2010) — 105 citations
• AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video (2011) — 435 citations
• LabelMe: Online Image Annotation and Applications (2010) — 401 citations