1 citations · 1 across the 7 of their papers we have counts for
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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…
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…
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…
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…
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…
ActivityCLIP: Enhancing Group Activity Recognition by Mining Complementary Information from Text to Supplement Image Modality
Guoliang Xu, Jianqin Yin, Feng Zhou +1
Previous methods usually only extract the image modality's information to recognize group activity. However, mining image information is approaching saturation, making it difficult…
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…
Lifting by Image -- Leveraging Image Cues for Accurate 3D Human Pose Estimation
Feng Zhou, Jianqin Yin, Peiyang Li
The "lifting from 2D pose" method has been the dominant approach to 3D Human Pose Estimation (3DHPE) due to the powerful visual analysis ability of 2D pose estimators. Widely known…