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Shubham Tulsiani

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#machine learning Preprint Sep 2026

An Empirical Study on What Matters for Viewpoint-Generalizable Policies in Visual Imitation Learning

A controlled empirical study of which design choices allow visuomotor policies to generalize across viewpoints finds that viewpoint generalization improves when dense visual tokens are retained and the action head participates in geometric reasoning.

Mino Nakura, Sriram Krishna, Yu-Fei Wang et al. · 1 citation
Preprint Sep 2026

Point4D: Long-range 4D Motion Reconstruction

We introduce Point4D, a feed-forward model for 4D reconstruction of long-range video sequences. Point4D is able to reliably infer dense per-point 3D trajectories across multi-hundred-frame videos, unlike existing 4D methods that are limited to short input windows of at most a few dozen frames. A key innovation that ena...

Minsik Jeon, Jay Karhade, D. Ramanan et al. · 1 citation

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