Author

Zeyan Liu

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Preprint Sep 2026

Reducing Speaker Residual by Considering Pinhole Effect in Voice Anonymization

Voice anonymization aims to protect privacy by suppressing speaker identity while preserving linguistic content and prosody. However, residual speaker attributes in non-identity representations may still increase linkability and weaken privacy protection. To this end, this paper proposes a fine-tuning strategy with a p...

Ze-Yan Liu, Wei Jiang, Li-Ping Chen et al. · 0 citations

Preprint Aug 2026

presto: Efficient, Training-free, and Open-world Object Placement via Imaginary Search

This work reformulates open-world object placement as a heuristic search task guided by reasoning from a Multimodal Large Language Model (MLLM), and introduces Presto, a zero-shot, training-free framework that operates within an imaginary action space to iteratively refine object position and scale.

Weixuan Ding, Shang Liu, Han-Yu Pei et al. · 0 citations