Enea Cippitelli

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 5 papers; trusts 73 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 59 citations into it; #12,200 of 21,575 by trust here, #13,542 by citations
• Biomedical Engineering — 27 citations into it; #4,845 of 10,734 by trust here, #7,279 by citations
• Human-Computer Interaction — 22 citations into it
• Artificial Intelligence — 17 citations into it
• 3D Vision & Pose — 12 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Enea Cippitelli trusts overall

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

1. Lu Xia
2. Chih-Jen Lin
3. Jake K. Aggarwal
4. Wanqing Li
5. Xiaodong Yang
6. J. Platt
7. Omar Oreifej
8. Zicheng Liu
9. Samuele Gasparrini
10. Parisa Rashidi

Who trusts Enea Cippitelli overall

1. Fei Han
2. Roozbeh Jafari
3. L. Dang
4. Ennio Gambi
5. Brian Reily
6. Yueng Santiago Delahoz
7. Nasser Kehtarnavaz
8. Michael Firman
9. Susanna Spinsante
10. William A. Hoff

Papers from Enea Cippitelli's perspective

Ordered by how strongly the researchers Enea Cippitelli 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. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• A Depth-Based Fall Detection System Using a Kinect® Sensor (2014) — 209 citations
• A Human Activity Recognition System Using Skeleton Data from RGBD Sensors (2016) — 215 citations
• Evaluation of a skeleton-based method for human activity recognition on a large-scale RGB-D dataset (2016) — 22 citations
• Comparison of RGB-D Mapping Solutions for Application to Food Intake Monitoring (2015) — 6 citations
• Time synchronization and data fusion for RGB-Depth cameras and inertial sensors in AAL applications (2015) — 38 citations