arXiv AI By Kexin Tian, Sixu Li, Keshu Wu, Yang Zhou, Zhengzhong Tu

SUMO: Segment and Track Any Motion with Nonlinear State Space Models

Read the original on arXiv AI →

arXiv:2606. 29861v1 Announce Type: cross Abstract: Visual Object Tracking (VOT) and Moving Object Segmentation (MOS) are two fundamental tasks in computer vision that involve both spatial and temporal object dynamics.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv Computer Vision
Sep 17

StrucPhysVideo: Learning Physical Dynamics from Structured Captions and Robot Actions

arXiv:2609.18430v1 Announce Type: new Abstract: Modeling physical dynamics, including how objects move, interact, and change state, is central to video world models for embodied AI. We present StrucP...

By WM Team, Enhui Ma, Kaiwen Guo, Tingrui Zhang, Wei Song, Yingshui Tan, Jianhua Xu, Tong Zhang, Kaicheng Yu