Mark Palatucci

Computer Vision and Pattern Recognition · 2006–2009

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 225 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it; #2,600 of 21,575 by trust here, #2,688 by citations
• Artificial Intelligence — 9 citations into it; #4,163 of 35,345 by trust here, #4,829 by citations
• Statistics and Probability — 7 citations into it; #3,762 of 12,932 by trust here, #4,371 by citations
• Computational Mechanics — 5 citations into it

Whom Mark Palatucci trusts overall

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

1. Eric R. Ziegel
2. Jerome H. Friedman
3. Evgeniy Bart
4. Antonio Torralba
5. Kendrick Norris Kay
6. Tom Michael Mitchell
7. Trevor J. Hastie
8. Tong Tong Wu
9. Shimon Ullman
10. Geoffrey E. Hinton

Who trusts Mark Palatucci overall

1. Mohammad Rostami
2. Zeynep Akata
3. Yanwei Fu
4. Soravit Changpinyo
5. Wei-Lun Chao
6. Mohamed Elhoseiny
7. Yongqin Xian
8. David Isele
9. Ruslan Salakhutdinov
10. Timothy M. Hospedales

Papers from Mark Palatucci's perspective

Ordered by how strongly the researchers Mark Palatucci 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Zero-shot Learning with Semantic Output Codes (2009) — 1,146 citations
• Stanley: The robot that won the DARPA Grand Challenge (2006) — 2,648 citations
• Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery (2009) — 237 citations