1 citations · 1 across the 2 of their papers we have counts for
3 papers
VFMF: World Modeling by Forecasting Vision Foundation Model Features
Gabrijel Boduljak, Yushi Lan, Christian Rupprecht +1
Forecasting from partial observations is central to world modeling. Many recent methods represent the world through images, and reduce forecasting to stochastic video generation. A…
What Happens Next? Anticipating Future Motion by Generating Point Trajectories
Gabrijel Boduljak, Laurynas Karazija, Iro Laina +2
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 suc…
On Vanishing Variance in Transformer Length Generalization
Ruining Li, Gabrijel Boduljak, Jensen +1
It is a widely known issue that Transformers, when trained on shorter sequences, fail to generalize robustly to longer ones at test time. This raises the question of whether Transf…