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Author

Kecheng Zheng

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Preprint Jul 2026

Vision Pretraining for Dense Spatial Perception

This work proposes masked boundary modeling, a self-supervised paradigm that dynamically learns sub-pixel boundary representations and subsequently leverages the discovered boundary-bearing tokens as masked targets to facilitate dense visual token learning.

Zelin Fu, Bin Tan, Chang Sun et al. · 3 citations · ⚡2
Preprint Jul 2026

Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence

LingBot-Video is presented, a DiT-based video pretraining paradigm specifically tailored for embodied intelligence, and is contributed as the inaugural large-scale, open-source MoE video foundation model to the community, in a pioneering effort to bridge digital creativity and physical actuation.

Shuailei Ma, Jiaqi Liao, Xinyang Wang et al. · 5 citations