6 papers
Backdoor in the Loop: Compromising Agentic Search via Malicious Retrievers
Beining Xu, Peichun Hua, Yunming Xiao
Agentic retrieval-augmented generation (RAG) interleaves reasoning with repeated retrieval, giving the retriever influence over both the evidence an agent observes and its subseque…
Beyond Visual Evidence: Revealing and Mitigating Relational Privacy Leakage in Document MLLMs
Beining Xu, Hairui Wang, Jiaxin Wang +2
While the privacy risks of multimodal large language models (MLLMs) have drawn significant attention, the unique vulnerabilities of domain-specific MLLMs remain largely underexplor…
S-MLLM: Boosting Spatial Reasoning Capability of MLLMs for 3D Visual Grounding with Structural Guidance
Beining Xu, Siting Zhu, Zhao Jin +2
3D Visual Grounding (3DVG) focuses on locating objects in 3D scenes based on natural language descriptions, serving as a fundamental task for embodied AI and robotics. Recent advan…
IAG: Input-aware Backdoor Attack on VLM-based Visual Grounding
Junxian Li, Beining Xu, Simin Chen +4
Recent advances in vision-language models (VLMs) have significantly enhanced the visual grounding task, which involves locating objects in an image based on natural language querie…
SGLoc: Semantic Localization System for Camera Pose Estimation from 3D Gaussian Splatting Representation
Beining Xu, Siting Zhu, Hesheng Wang
We propose SGLoc, a novel localization system that directly regresses camera poses from 3D Gaussian Splatting (3DGS) representation by leveraging semantic information. Our method u…
Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods
Beining Xu, Junxian Li
Visible images offer rich texture details, while infrared images emphasize salient targets. Fusing these complementary modalities enhances scene understanding, particularly for adv…