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Nannan Zhu

2 accepted papers

2025

Diff-LMM: Diffusion Teacher-Guided Spatio-Temporal Perception for Video Large Multimodal Models

IJCAI 2025

Dynamic spatio-temporal understanding is essential for video-based multimodal tasks, yet existing methods often struggle to capture fine-grained temporal and spatial relationships in long videos. Current approaches primarily rely on pre-trained CLIP encoders, which excel in semantic understanding bu

Cited by 0SourcePDFScholar
2025

Hallucination Reduction in Video-Language Models via Hierarchical Multimodal Consistency

IJCAI 2025

The rapid advancement of large language models (LLMs) has led to the widespread adoption of video-language models (VLMs) across various domains. However, VLMs are often hindered by their limited semantic discrimination capability, exacerbated by the limited diversity and biased sample distribution o

Cited by 0SourcePDFScholar