Xiaohan Chen

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20242026

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cs.CV2026

$M^{3} - V er se$ : A "Spot the Difference" Challenge for Large Multimodal Models

Kewei Wei, Bocheng Hu, Jie Cao +13

Modern Large Multimodal Models (LMMs) have demonstrated extraordinary ability in static image and single-state spatial-temporal understanding. However, their capacity to comprehend…

cs.CV2024

Chasing Better Deep Image Priors between Over- and Under-parameterization

Qiming Wu, Xiaohan Chen, Yifan Jiang +1

Deep Neural Networks (DNNs) are well-known to act as over-parameterized deep image priors (DIP) that regularize various image inverse problems. Meanwhile, researchers also proposed…

M3−Verse: A "Spot the Difference" Challenge for Large Multimodal Models

Chasing Better Deep Image Priors between Over- and Under-parameterization

$M^{3} - V er se$ : A "Spot the Difference" Challenge for Large Multimodal Models