Author

Yash Jangir

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Preprint Oct 2026

What 30,000 Hours of Ego-centric Video Does Not Teach

World models offer a promising alternative to physics-based simulators, yet remain far from practical deployment. We ask how far scaling ego-centric human video takes them, using a dataset of 30,000 hours spanning over 1,000 scene types and 14,000 contributors. Rather than relying on opaque downstream metrics, we direc...

Jia-Hua Dong, Anurag Bagchi, Yash Jangir et al. · 0 citations

Preprint Aug 2026

Lost in Reconstruction: Aligning Action Representations with Language in Vision-Language-Action Models

SALT is introduced, a Semantically ALigned action Tokenizer that augments a VQ-VAE-style tokenizer with an auxiliary objective requiring a frozen vision-language model to recover the episode instruction from quantized action latents to substantially improve language-conditioned control.

Wen-Jie Li, Yash Jangir, Ignacy Stepka et al. · 1 citation

Jul 2026

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction

This work studies how to learn anticipation of how objects move during human-object interaction from ordinary monocular videos of human-object interaction, and shows that it can efficiently re-purpose video priors into explicit geometric forecasts for embodied intelligence.

Homanga Bharadhwaj, Yash Jangir · arXiv.org · 0 citations