3 citations · 3 across the 7 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
LatentUMM: Dual Latent Alignment for Unified Multimodal Models
Yinyi Luo, Wenwen Wang, Hayes Bai +2
Unified multimodal models (UMMs) achieve strong performance in both understanding and generation by learning a shared latent space, yet they often exhibit functional inconsistency…
cs.CV2025
Evading Data Provenance in Deep Neural Networks
Hongyu Zhu, Sichu Liang, Wenwen Wang +3
Modern over-parameterized deep models are highly data-dependent, with large scale general-purpose and domain-specific datasets serving as the bedrock for rapid advancements. Howeve…
cs.CV2025
Revisiting Data Auditing in Large Vision-Language Models
Hongyu Zhu, Sichu Liang, Wenwen Wang +5
With the surge of large language models (LLMs), Large Vision-Language Models (VLMs)--which integrate vision encoders with LLMs for accurate visual grounding--have shown great poten…