Davide Del Testa

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #16,890 of 21,575 by trust here, #2,040 by citations
• Representation & Self-Supervised Learning — 5 citations into it

Whom Davide Del Testa trusts overall

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

1. Yoshua Bengio
2. Paul J. Werbos
3. Ron Kohavi
4. David E. Rumelhart
5. Pascal Vincent
6. Geoffrey E. Hinton
7. Radford M. Neal
8. Natalia M. Arzeno
9. Kurt Hornik
10. Hugo Larochelle

Who trusts Davide Del Testa overall

1. Lucas Theis
2. Sergey Levine
3. Kexin Pei
4. Pieter Abbeel
5. Abhishek Gupta
6. Matthias Müller
7. Yarin Gal
8. Faraz Torabi
9. Xiaodan Liang
10. Jinkyu Kim

Papers from Davide Del Testa's perspective

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

Their papers

• End to End Learning for Self-Driving Cars (2016) — 4,658 citations
• Lightweight Lossy Compression of Biometric Patterns via Denoising Autoencoders (2015) — 72 citations