123 citations · 272 across the 4 of their papers we have counts for
4 papers
SafeNexus: Discovering and Steering Modality-Universal Safety Neurons in MLLMs
Jian Yu, Fei Shen, Cong Wang +5
Although Large Language Models (LLMs) have demonstrated promising safety performance, extending them to Multimodal Large Language Models (MLLMs) exposes a significant gap between e…
Context Disentangling and Prototype Inheriting for Robust Visual Grounding
Wei Tang, Liang Li, Xuejing Liu +3
Visual grounding (VG) aims to locate a specific target in an image based on a given language query. The discriminative information from context is important for distinguishing the…
Deep Semantic Multimodal Hashing Network for Scalable Image-Text and Video-Text Retrievals
Lu Jin, Zechao Li, Jinhui Tang
Hashing has been widely applied to multimodal retrieval on large-scale multimedia data due to its efficiency in computation and storage. In this article, we propose a novel deep se…
Deep Ordinal Hashing with Spatial Attention
Lu Jin, Xiangbo Shu, Kai Li +3
Hashing has attracted increasing research attentions in recent years due to its high efficiency of computation and storage in image retrieval. Recent works have demonstrated the su…