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Gabrijel Boduljak

2 accepted papers

2026

VFMF: Dense Forecasting by Generating Foundation Model Features

ICML 2026poster

Forecasting by generating RGB videos is computationally expensive, often physically implausible, and not directly actionable, since it requires translation into decision-making signals. Direct modality forecasting (e.g., predicting future segmentation) produces directly actionable outputs but fails …

Cited by 0SourceScholar
2026

What Happens Next? Anticipating Future Motion by Generating Point Trajectories

ICLR 2026poster

We consider the problem of forecasting motion from a single image, i.e., predicting how objects in the world are likely to move, without the ability to observe other parameters such as the object velocities or the forces applied to them. We formulate this task as conditional generation of dense traj…

Cited by 0SourcecodeScholar