Céline Teulière
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 156 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 33 citations into it; #18,333 of 21,575 by trust here, #9,563 by citations
- Aerospace Engineering — 14 citations into it; #5,278 of 6,421 by trust here, #1,890 by citations
- Artificial Intelligence — 7 citations into it
Whom Céline Teulière trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Pedro F. Felzenszwalb
- Christian Szegedy
- Karen Simonyan
- Yann LeCun
- Yu Xiang
- Yoshua Bengio
Who trusts Céline Teulière overall
Papers from Céline Teulière's perspective
Ordered by how strongly the researchers Céline Teulière trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Going deeper with convolutions
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge