1 code implementation • 26 Dec 2023 • Saeed Saadatnejad, Yang Gao, Kaouther Messaoud, Alexandre Alahi
We translate the idea of a prompt from Natural Language Processing (NLP) to the task of human trajectory prediction, where a prompt can be a sequence of x-y coordinates on the ground, bounding boxes in the image plane, or body pose keypoints in either 2D or 3D.
no code implementations • 21 Dec 2023 • Kaouther Messaoud, Kathrin Grosse, Mickael Chen, Matthieu Cord, Patrick Pérez, Alexandre Alahi
In this paper, we focus on backdoors - a security threat acknowledged in other fields but so far overlooked for trajectory prediction.
no code implementations • 6 May 2020 • Kaouther Messaoud, Nachiket Deo, Mohan M. Trivedi, Fawzi Nashashibi
The future trajectories of agents can be inferred using two important cues: the locations and past motion of agents, and the static scene structure.