7 citations · 13 across the 9 of their papers we have counts for
10 papers · 1 filter
HierGF: Hierarchical Gaussian Fields via Geometry-perception Message Passing for Sparse-view 3D Reconstruction
Bi'an Du, Zhimin Zhang, Daizong Liu +2
Sparse view 3D reconstruction is an important and common scenario in multimedia applications, such as augmented reality/virtual reality (AR/VR) content creation, cultural heritage…
Fast3D: Accelerating 3D Multi-modal Large Language Models for Efficient 3D Scene Understanding
Wencan Huang, Daizong Liu, Wei Hu
While 3D Multi-modal Large Language Models (MLLMs) demonstrate remarkable scene understanding capabilities, their practical deployment faces critical challenges due to computationa…
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…
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…
Dense Object Grounding in 3D Scenes
Wencan Huang, Daizong Liu, Wei Hu
Localizing objects in 3D scenes according to the semantics of a given natural language is a fundamental yet important task in the field of multimedia understanding, which benefits…
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing
Daizong Liu, Wei Hu, Xin Li
With the increasing attention in various 3D safety-critical applications, point cloud learning models have been shown to be vulnerable to adversarial attacks. Although existing 3D…
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks
Qianjiang Hu, Daizong Liu, Wei Hu
With the maturity of depth sensors, point clouds have received increasing attention in various applications such as autonomous driving, robotics, surveillance, etc., while deep poi…
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification
Daizong Liu, Wei Hu
Although many efforts have been made into attack and defense on the 2D image domain in recent years, few methods explore the vulnerability of 3D models. Existing 3D attackers gener…
Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels
Daizong Liu, Shuangjie Xu, Pan Zhou +3
Disease diagnosis on chest X-ray images is a challenging multi-label classification task. Previous works generally classify the diseases independently on the input image without co…