Andreas Savakis

Computer Vision and Pattern Recognition · 2013–2019

A researcher in the Science corpus: 2 papers; trusts 419 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it; #14,912 of 21,575 by trust here, #18,782 by citations
• Artificial Intelligence — 30 citations into it
• Efficiency & Compression — 25 citations into it
• Model Architectures — 12 citations into it
• Computational Mechanics — 11 citations into it

Whom Andreas Savakis trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. X. Zhang
6. Yann LeCun
7. Karen Simonyan
8. Andrew Zisserman
9. Christian Szegedy
10. Ilya Sutskever

Who trusts Andreas Savakis overall

1. Fei Han

Papers from Andreas Savakis's perspective

Ordered by how strongly the researchers Andreas Savakis 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Cascaded Projection: End-To-End Network Compression and Acceleration (2019) — 27 citations
• Grassmannian Sparse Representations and Motion Depth Surfaces for 3D Action Recognition (2013) — 29 citations