Alexandre Carlier

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it

Whom Alexandre Carlier trusts overall

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

1. Alex Graves
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Ilya Loshchilov
5. Yoshua Bengio
6. David R Ha
7. Yann LeCun
8. Ilya Sutskever
9. J. Urgen Schmidhuber
10. Aäron van den Oord

Who trusts Alexandre Carlier overall

1. Rundi Wu
2. Yicheng Liu
3. Chang Xiao
4. Yue Wang

Papers from Alexandre Carlier's perspective

Ordered by how strongly the researchers Alexandre Carlier 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation (2020) — 221 citations