113 citations · 202 across the 6 of their papers we have counts for
3 papers · 1 filter
CAR-Net: Clairvoyant Attentive Recurrent Network
Amir Sadeghian, Ferdinand Legros, Maxime Voisin +3
We present an interpretable framework for path prediction that leverages dependencies between agents' behaviors and their spatial navigation environment. We exploit two sources of…
To Go or Not To Go? A Near Unsupervised Learning Approach For Robot Navigation
Noriaki Hirose, Amir Sadeghian, Patrick Goebel +1
It is important for robots to be able to decide whether they can go through a space or not, as they navigate through a dynamic environment. This capability can help them avoid inju…
Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies
Amir Sadeghian, Alexandre Alahi, Silvio Savarese
The majority of existing solutions to the Multi-Target Tracking (MTT) problem do not combine cues in a coherent end-to-end fashion over a long period of time. However, we present a…