Igor Gilitschenski

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it; #18,242 of 21,575 by trust here, #13,815 by citations
• Aerospace Engineering — 15 citations into it

Whom Igor Gilitschenski trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Michael Langberg
6. Kaiming He
7. Ilya Sutskever
8. Karen Simonyan
9. Diederik P. Kingma
10. L. Eon Bottou

Who trusts Igor Gilitschenski overall

1. Dan Feldman
2. Ben Mussay

Papers from Igor Gilitschenski's perspective

Ordered by how strongly the researchers Igor Gilitschenski trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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

• Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds (2018) — 86 citations
• Maplab: An Open Framework for Research in Visual-Inertial Mapping and Localization (2017) — 284 citations