Leonardo Galteri
Computer Vision and Pattern Recognition · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 191 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 34 citations into it; #11,418 of 21,575 by trust here, #12,419 by citations
- Media Technology — 12 citations into it
- Generative Models — 11 citations into it
- Artificial Intelligence — 5 citations into it; #24,441 of 35,345 by trust here, #23,731 by citations
- Model Architectures — 5 citations into it
Whom Leonardo Galteri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Karen Simonyan
- Shaoqing Ren
- Alex Krizhevsky
- Yann LeCun
- Ross B. Girshick
- Yoshua Bengio
- Andrew Zisserman
Who trusts Leonardo Galteri overall
- Yochai Blau
- Michael Tschannen
- Eirikur Agustsson
- Chitwan Saharia
- Tomer Michaeli
- Yisroel Mirsky
- Mingu Kang
- Hasam Khalid
- Yuyang Qian
- Yucheng Luo
Papers from Leonardo Galteri's perspective
Ordered by how strongly the researchers Leonardo Galteri trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Deep Generative Adversarial Compression Artifact Removal (2017) — 229 citations
- Deepfake Video Detection through Optical Flow Based CNN (2019) — 372 citations