3 citations · 4 across the 8 of their papers we have counts for
3 papers · 1 filter
Winner-takes-all learners are geometry-aware conditional density estimators
Victor Letzelter, David Perera, Cédric Rommel +4
Winner-takes-all training is a simple learning paradigm, which handles ambiguous tasks by predicting a set of plausible hypotheses. Recently, a connection was established between W…
Manipulating Trajectory Prediction with Backdoors
Kaouther Messaoud, Kathrin Grosse, Mickael Chen +3
Autonomous vehicles ought to predict the surrounding agents' trajectories to allow safe maneuvers in uncertain and complex traffic situations. As companies increasingly apply traje…
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
Laura Calem, Hedi Ben-Younes, Patrick Pérez +1
Predicting multiple trajectories for road users is important for automated driving systems: ego-vehicle motion planning indeed requires a clear view of the possible motions of the…