1 citations · 2 across the 9 of their papers we have counts for
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cs.CV2024
Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model
Chen Rao, Guangyuan Li, Zehua Lan +7
Current video deblurring methods have limitations in recovering high-frequency information since the regression losses are conservative with high-frequency details. Since Diffusion…
cs.CV2024★ 1 cited
Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation
Xiaoye Qu, Qiyuan Chen, Wei Wei +2
Despite the remarkable ability of large vision-language models (LVLMs) in image comprehension, these models frequently generate plausible yet factually incorrect responses, a pheno…
cs.CV2024★ 1 cited
Mitigating Multilingual Hallucination in Large Vision-Language Models
Xiaoye Qu, Mingyang Song, Wei Wei +2
While Large Vision-Language Models (LVLMs) have exhibited remarkable capabilities across a wide range of tasks, they suffer from hallucination problems, where models generate plaus…