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cs.CV2026
Gestalt: Large Multimodal Interplay Model
Zequn Yang, Yu Miao, Haotian Ni +8
In this paper, we propose Gestalt, a new paradigm of large multimodal model built around multimodal interplay. Despite rapid advances, large multimodal models are reaching a bottle…
cs.CV2025
MokA: Multimodal Low-Rank Adaptation for MLLMs
Yake Wei, Yu Miao, Dongzhan Zhou +1
In this paper, we reveal that most current efficient multimodal fine-tuning methods are hindered by a key limitation: they are directly borrowed from LLMs, often neglecting the int…
cs.CV2024
Ref-AVS: Refer and Segment Objects in Audio-Visual Scenes
Yaoting Wang, Peiwen Sun, Dongzhan Zhou +3
Traditional reference segmentation tasks have predominantly focused on silent visual scenes, neglecting the integral role of multimodal perception and interaction in human experien…