Learning Pedestrian Detection from Virtual Worlds

By Giuseppe Amato, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Nicola Messina. 2019

29 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Representation & Self-Supervised Learning

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Luca Ciampi
2. Giuseppe Amato
3. Claudio Gennaro
4. Carlos Santiago
5. João Paulo Costeira
6. Fabrizio Falchi
7. Nicola Messina
8. Lourdes de Agapito

In Representation & Self-Supervised Learning

1. Giuseppe Amato
2. Claudio Gennaro
3. Luca Ciampi

Citations in the corpus

• Domain Adaptation for Traffic Density Estimation (2021, background): “Some relevant works present in the literature are (Ciampi et al., 2018), (Amato et al., 2019), (Amato et al., 2018), (Aich and Stavness, 2018), (Laradji et al., 2018).”
• Virtual to Real Adaptation of Pedestrian Detectors (2020, methodology): “74 ViPeD FT-DA [13] (our) 0.”