7 papers
Initialize to Generalize: A Stronger Initialization Pipeline for Sparse-View 3DGS
Feng Zhou, Wenkai Guo, Pu Cao +2
Sparse-view 3D Gaussian Splatting (3DGS) often overfits to the training views, leading to artifacts like blurring in novel view rendering. Prior work addresses it either by enhanci…
3DGAA: Realistic and Robust 3D Gaussian-based Adversarial Attack for Autonomous Driving
Yixun Zhang, Lizhi Wang, Junjun Zhao +4
Camera-based perception in connected and autonomous vehicles remains exposed to physical adversarial attacks. Prior attacks often either optimize image-plane textures, weakening cr…
BiTAA: A Bi-Task Adversarial Attack for Object Detection and Depth Estimation via 3D Gaussian Splatting
Yixun Zhang, Feng Zhou, Jianqin Yin
Camera-based perception is critical to autonomous driving yet remains vulnerable to task-specific adversarial manipulations in object detection and monocular depth estimation. Most…
Towards Physically Realizable Adversarial Attacks in Embodied Vision Navigation
Meng Chen, Jiawei Tu, Chao Qi +4
The significant advancements in embodied vision navigation have raised concerns about its susceptibility to adversarial attacks exploiting deep neural networks. Investigating the a…
L2HCount:Generalizing Crowd Counting from Low to High Crowd Density via Density Simulation
Guoliang Xu, Jianqin Yin, Ren Zhang +3
Since COVID-19, crowd-counting tasks have gained wide applications. While supervised methods are reliable, annotation is more challenging in high-density scenes due to small head s…
OMEGAS: Object Mesh Extraction from Large Scenes Guided by Gaussian Segmentation
Lizhi Wang, Feng Zhou, Bo yu +2
Recent advancements in 3D reconstruction technologies have paved the way for high-quality and real-time rendering of complex 3D scenes. Despite these achievements, a notable challe…