Laura Sellart

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 116 researchers and is trusted by 273 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #2,411 of 21,575 by trust here, #2,926 by citations
• Artificial Intelligence — 14 citations into it

Whom Laura Sellart trusts overall

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

1. Karen Simonyan
2. Diederik P. Kingma
3. Kaiming He
4. Alex Krizhevsky
5. Andrew Zisserman
6. Geoffrey E. Hinton
7. Ross B. Girshick
8. Yann LeCun
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Laura Sellart overall

1. Lukas Hoyer
2. Luc Van Gool
3. Yang Zhang
4. Yuhua Chen
5. Yanchao Yang
6. Sergey I. Nikolenko
7. Dengxin Dai
8. Gabriella Csurka
9. Judy Hoffman
10. Yi-Hsuan Tsai

Papers from Laura Sellart's perspective

Ordered by how strongly the researchers Laura Sellart 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 Large Scale Visual Recognition Challenge
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes (2016) — 2,458 citations