RAVE—A Detector-Independent Toolkit to Reconstruct Vertices

By Wolfgang Waltenberger. 2011

24 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Jonathan Shlomi
2. Peter W. Battaglia
3. Jean-Roch Vlimant

In Computer Vision and Pattern Recognition

1. Jonathan Shlomi
2. Jean-Roch Vlimant
3. Peter W. Battaglia
4. Josh Tenenbaum
5. Luc Van Gool
6. Jitendra Malik
7. Antonio Torralba
8. Dacheng Tao

In Radiology, Nuclear Medicine and Imaging

1. Jonathan Shlomi
2. Peter W. Battaglia
3. Jean-Roch Vlimant

Citations in the corpus

• Set2Graph: Learning Graphs From Sets (2020, neutral): “We compare the results of our model (S2G and S2G+) trained to minimize the F1 score to a typical baseline algorithm used in particle physics - the Adaptive Vertex Reconstruction (AVR) algorithm (Waltenberger, 2011).”
• Graph neural networks in particle physics (2020, methodology): “algorithms on the particles, such as the adaptive vertex reconstruction [71].”