Author

Zhenjun Zhao

University of Zaragoza

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Preprint Oct 2026

MORE: Learning Motion-Oriented Registers for Driving World Models and Planning

By predicting future states, latent world models provide rich self-supervision for end-to-end driving, but often inherit dense features from pretrained visual encoders as their world-state interface. This creates a mismatch: visual pretraining produces information-rich, spatially dense features, but their adaptation fo...

Yi Gu, Hao-Yu Wang, Shao-Cheng Yan et al. · 0 citations

Preprint Oct 2026

F$^2$ SLAM: Turning Feed-Forward Geometry into Persistent Factors for SLAM

Feed-forward 3D models provide strong multi-view geometric priors, while on- line simultaneous localization and mapping (SLAM) relies mainly on local mea- surements and can accumulate drift over long sequences. Existing attempts to combine the two typically treat feed-forward predictions as an external geomet- ric stat...

Zhi-Song Xu, Fan Zhu, J. Qian et al. · 0 citations

Preprint Aug 2026

SSMB: Self-Supervised Local Feature Detection under Motion Blur

SSMB is presented, a deblur-free, self-supervised keypoint detector for motion-blurred images that requires neither handcrafted detectors nor external pseudo-labels, and introduces the Local Discriminability Enhancement (LDE) module, which restores fine-grained local discriminability after global feature mixing.

Zhenjun Zhao, F. Bellavia, Wen-Ting Wang et al. · 0 citations