no code implementations • 12 Feb 2025 • Neerja Thakkar, Tara Sadjadpour, Jathushan Rajasegaran, Shiry Ginosar, Jitendra Malik
At its core, PAR represents the behavior of all agents as a sequence of tokens, each representing an agent's state at a specific timestep.
no code implementations • 11 Dec 2023 • Neerja Thakkar, Karttikeya Mangalam, Andrea Bajcsy, Jitendra Malik
We formalize the problem of scene-specific adaptive trajectory prediction and propose a new adaptation approach inspired by prompt tuning called latent corridors.
no code implementations • 6 Sep 2022 • Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory
In this work, we study how the performance and evaluation of generative image models are impacted by the racial composition of their training datasets.