Julia Neumann

Computer Vision and Pattern Recognition · 2005–2006

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it; #8,096 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 7 citations into it; #12,183 of 35,345 by trust here, #18,186 by citations

Whom Julia Neumann trusts overall

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

1. Robert Tibshirani
2. Jason Aaron Edward Weston
3. Olivier Chapelle
4. Kristin P. Bennett
5. Olvi L. Mangasarian
6. Alan L. Yuille
7. Paul S. Bradley
8. Nello Cristianini
9. Andre´ Elisseeff
10. Ji Zhu

Who trusts Julia Neumann overall

1. Qinghua Hu
2. Bharath K. Sriperumbudur
3. Lipo Wang
4. Raghavendra Chalapathy
5. Wei Guan
6. Daren Yu
7. Zenglin Xu
8. Jian-Bo Yang
9. Gert R. G. Lanckriet
10. Rehab Ali Ibrahim

Papers from Julia Neumann's perspective

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

Their papers

• Combined SVM-Based Feature Selection and Classification (2005) — 279 citations
• Splines in Higher Order TV Regularization (2006) — 88 citations