Lucas Paletta

Computer Vision and Pattern Recognition · 2004–2007

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it; #13,360 of 21,575 by trust here, #15,529 by citations
• Reinforcement Learning — 5 citations into it

Whom Lucas Paletta trusts overall

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

1. David G. Lowe
2. Christopher J. C. H. Watkins
3. Markus Weber
4. Laurent Itti
5. Aiko M. Hormann
6. Martin L. Puterman
7. Peter S. Dayan
8. Max Welling
9. Christof Koch
10. Pietro Perona

Who trusts Lucas Paletta overall

1. Hugo Larochelle
2. Klaus Greff
3. Geoffrey E. Hinton
4. Sjoerd van Steenkiste
5. Derya Soydaner
6. J. Urgen Schmidhuber
7. Alexander Andreopoulos

Papers from Lucas Paletta's perspective

Ordered by how strongly the researchers Lucas Paletta trusts endorse each paper. Same corpus, a different order for every researcher.

1. Distinctive Image Features from Scale-Invariant Keypoints
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Going deeper with convolutions
7. Object recognition from local scale-invariant features
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Long Short-Term Memory

Their papers

• Q-learning of sequential attention for visual object recognition from informative local descriptors (2005) — 67 citations
• Attentive Object Detection Using an Information Theoretic Saliency Measure (2004) — 34 citations
• Perception and Developmental Learning of Affordances in Autonomous Robots (2007) — 15 citations