Ivan Lillo

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 313 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it; #8,596 of 21,575 by trust here, #9,722 by citations
• Artificial Intelligence — 29 citations into it; #13,151 of 35,345 by trust here, #16,166 by citations
• Human-Computer Interaction — 14 citations into it
• Biomedical Engineering — 12 citations into it
• 3D Vision & Pose — 6 citations into it
• Control and Systems Engineering — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Ivan Lillo trusts overall

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

1. Thorsten Joachims
2. Alan L. Yuille
3. Chun-Nam John Yu
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Pedro F. Felzenszwalb
8. Kaiming He
9. Yann LeCun
10. Ross B. Girshick

Who trusts Ivan Lillo overall

1. Jianfang Hu
2. Liliana Lo Presti
3. Lingling Tao
4. José Ramón Padilla-López
5. Juan Carlos Niebles
6. Jun Liu
7. Weishi Zheng
8. Marco La Cascia
9. René Vidal
10. Michael Firman

Papers from Ivan Lillo's perspective

Ordered by how strongly the researchers Ivan Lillo 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
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

• Discriminative Hierarchical Modeling of Spatio-temporally Composable Human Activities (2014) — 86 citations
• A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets (2016) — 46 citations
• GDXray: The Database of X-ray Images for Nondestructive Testing (2015) — 457 citations