4 citations · 9 across the 14 of their papers we have counts for
Showing 2024 · cs.CVShow all
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cs.CV2024★ 2 cited
Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey
Xuannan Liu, Xing Cui, Peipei Li +6
The rapid evolution of multimodal foundation models has led to significant advancements in cross-modal understanding and generation across diverse modalities, including text, image…
cs.CV2024★ 2 cited
MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs
Xuannan Liu, Zekun Li, Peipei Li +6
Current multimodal misinformation detection (MMD) methods often assume a single source and type of forgery for each sample, which is insufficient for real-world scenarios where mul…
cs.CV2024
Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner
Xing Cui, Peipei Li, Zekun Li +3
Flexible and accurate drag-based editing is a challenging task that has recently garnered significant attention. Current methods typically model this problem as automatically learn…