Author

Yi-Xiao He

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Preprint Open access Sep 2026

Seeing as Humans Do: Learning from Motion to Segment Anything Without Supervision

The Segment Anything Model (SAM) relies heavily on massive manual annotations, creating a fundamental bottleneck for model scaling. While unsupervised methods attempt to learn object concepts from motion, they typically overfit to moving entities, lacking both multi-granularity understanding and the ability to generali...

Wei-Jian Jian, Xiao-Yue Zhang, Bin Xiao et al. · 0 citations

Preprint Aug 2026

LookAgain: Closed-Loop GUI Grounding with Visually Grounded Reflection

Recent graphical user interface (GUI) grounders have significantly advanced single-shot accuracy on standard benchmarks, yet their performance degrades sharply on small targets, densely packed controls and out-of-distribution interfaces. We attribute this gap to a paradigmatic limitation shared by existing approaches:...

Renshan Zhang, Hao-Yang Meng, Yi-Xiao He et al. · 0 citations