1 citations · 1 across the 4 of their papers we have counts for
5 papers
EgoExo-WM: Unlocking Exo Video for Ego World Models
Danny Tran, Roberto Martín-Martín, Kristen Grauman
Egocentric world models present a promising direction for enabling agents to predict and plan, but their performance is constrained by the limited availability of egocentric traini…
Whole-Body Conditioned Egocentric Video Prediction
Yutong Bai, Danny Tran, Amir Bar +3
We train models to Predict Ego-centric Video from human Actions (PEVA), given the past video and an action represented by the relative 3D body pose. By conditioning on kinematic po…
Navigation World Models
Amir Bar, Gaoyue Zhou, Danny Tran +2
Navigation is a fundamental skill of agents with visual-motor capabilities. We introduce a Navigation World Model (NWM), a controllable video generation model that predicts future…
Efficient Mitigation of Bus Bunching through Setter-Based Curriculum Learning
Avidan Shah, Danny Tran, Yuhan Tang
Curriculum learning has been growing in the domain of reinforcement learning as a method of improving training efficiency for various tasks. It involves modifying the difficulty (l…
EgoPet: Egomotion and Interaction Data from an Animal's Perspective
Amir Bar, Arya Bakhtiar, Danny Tran +5
Animals perceive the world to plan their actions and interact with other agents to accomplish complex tasks, demonstrating capabilities that are still unmatched by AI systems. To a…