1 citations · 2 across the 6 of their papers we have counts for
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Improving the Transferability of 3D Point Cloud Attack via Spectral-aware Admix and Optimization Designs
Shiyu Hu, Daizong Liu, Wei Hu
Deep learning models for point clouds have shown to be vulnerable to adversarial attacks, which have received increasing attention in various safety-critical applications such as a…
Hard-Label Black-Box Attacks on 3D Point Clouds
Daizong Liu, Yunbo Tao, Junhao Dong +4
With the maturity of depth sensors in various 3D safety-critical applications, 3D point cloud models have been shown to be vulnerable to adversarial attacks. Almost all existing 3D…
Joint Top-Down and Bottom-Up Frameworks for 3D Visual Grounding
Yang Liu, Daizong Liu, Wei Hu
This paper tackles the challenging task of 3D visual grounding-locating a specific object in a 3D point cloud scene based on text descriptions. Existing methods fall into two categ…
A Survey on Text-guided 3D Visual Grounding: Elements, Recent Advances, and Future Directions
Daizong Liu, Yang Liu, Wencan Huang +1
Text-guided 3D visual grounding (T-3DVG), which aims to locate a specific object that semantically corresponds to a language query from a complicated 3D scene, has drawn increasing…
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends
Daizong Liu, Mingyu Yang, Xiaoye Qu +3
With the significant development of large models in recent years, Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities across a wide range of multimodal u…