Luciano Spinello

Computer Vision and Pattern Recognition · 2011–2015

A researcher in the Science corpus: 5 papers; trusts 302 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 69 citations into it; #4,924 of 21,575 by trust here, #6,606 by citations
• Aerospace Engineering — 27 citations into it; #3,222 of 6,421 by trust here, #1,573 by citations
• Artificial Intelligence — 23 citations into it; #15,585 of 35,345 by trust here, #13,353 by citations
• Evaluation & Benchmarks — 5 citations into it

Whom Luciano Spinello trusts overall

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

1. Paul A. Viola
2. Richard Szeliski
3. Kai Oliver Arras
4. Navneet Dalal
5. Sho Ikemura
6. Alex Krizhevsky
7. Ross B. Girshick
8. Geoffrey E. Hinton
9. Wolfram Burgard
10. David G. Lowe

Who trusts Luciano Spinello overall

1. Michael Firman
2. Li Liu
3. Ziyun Cai
4. Guyue Zhang
5. Mengyang Yu
6. Paulo Vinicius Koerich Borges
7. Fei Han
8. Dapeng Tao
9. Shuran Song
10. Ling Shao

Papers from Luciano Spinello's perspective

Ordered by how strongly the researchers Luciano Spinello 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. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• People detection in RGB-D data (2011) — 416 citations
• Multimodal deep learning for robust RGB-D object recognition (2015) — 684 citations
• People tracking in RGB-D data with on-line boosted target models (2011) — 208 citations
• Robust visual SLAM across seasons (2015) — 103 citations
• Robust map optimization using dynamic covariance scaling (2013) — 298 citations