Alessandro Chiuso

Computer Vision and Pattern Recognition · 2002–2014

A researcher in the Science corpus: 7 papers; trusts 239 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #5,133 of 21,575 by trust here, #6,206 by citations
• Computer Networks and Communications — 31 citations into it; #6,938 of 9,886 by trust here, #5,518 by citations
• Artificial Intelligence — 12 citations into it; #7,180 of 35,345 by trust here, #8,525 by citations
• Control and Systems Engineering — 6 citations into it
• Media Technology — 6 citations into it; #2,038 of 3,621 by trust here, #2,479 by citations
• Statistical and Nonlinear Physics — 6 citations into it
• Aerospace Engineering — 5 citations into it

Whom Alessandro Chiuso trusts overall

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

1. Yann LeCun
2. David G. Lowe
3. Karen Simonyan
4. Reza Olfati-Saber
5. Lin Xiao
6. Geoffrey E. Hinton
7. Andrew Zisserman
8. Alex Krizhevsky
9. Marc'Aurelio Ranzato
10. Yoshua Bengio

Who trusts Alessandro Chiuso overall

1. Stefano Soatto
2. Alessandro Achille
3. Jianwen Xie
4. Pavan K. Turaga
5. Vijay Mahadevan
6. Daniel Cremers
7. Eric C. Hall
8. Eagle Jones
9. Jonathan Kelly
10. Jakob J. Engel

Papers from Alessandro Chiuso's perspective

Ordered by how strongly the researchers Alessandro Chiuso 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Dynamic Textures (2003) — 1,013 citations
• Structure from Motion Causally Integrated Over Time (2002) — 393 citations
• Optimal Synchronization for Networks of Noisy Double Integrators (2011) — 114 citations
• Visual Representations: Defining Properties and Deep Approximations (2014) — 66 citations
• Distributed Kalman filtering based on consensus strategies (2008) — 509 citations
• The role of vector autoregressive modeling in predictor-based subspace identification (2007) — 298 citations
• The asymptotic variance of subspace estimates (2004) — 96 citations