93 citations · 288 across the 36 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2022
Deep Fusion of Multi-Object Densities Using Transformer
Lechi Li, Chen Dai, Yuxuan Xia +1
In this paper, we demonstrate that deep learning based method can be used to fuse multi-object densities. Given a scenario with several sensors with possibly different field-of-vie…
cs.LG2022★ 10 cited
Can Deep Learning be Applied to Model-Based Multi-Object Tracking?
Juliano Pinto, Georg Hess, William Ljungbergh +3
Multi-object tracking (MOT) is the problem of tracking the state of an unknown and time-varying number of objects using noisy measurements, with important applications such as auto…