Renzo Andri

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 2 papers; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it
• Artificial Intelligence — 23 citations into it
• Efficiency & Compression — 18 citations into it
• Electrical and Electronic Engineering — 14 citations into it
• Model Architectures — 10 citations into it
• ML Systems & Hardware — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Renzo Andri trusts overall

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

1. Matthieu Courbariaux
2. Yoshua Bengio
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yann LeCun
6. Karen Simonyan
7. Clément Farabet
8. Ilya Sutskever
9. Stephen Gould
10. Wonyong Sung

Who trusts Renzo Andri overall

1. Vivienne Sze
2. Md Maruf Hossain Shuvo
3. Fabian Schuiki
4. Ruizhou Ding
5. Yaman Umuroglu
6. Yu-hsin Chen
7. Syed Kamrul Islam
8. Tien-Ju Yang
9. Michael Schaffner
10. Zeye (Dexter) Liu

Papers from Renzo Andri's perspective

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

Their papers

• YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration (2016) — 218 citations
• YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights (2016) — 203 citations