1 citations · 3 across the 9 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…
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…
Exploring Position Encoding in Diffusion U-Net for Training-free High-resolution Image Generation
Feng Zhou, Pu Cao, Yiyang Ma +2
Denoising higher-resolution latents via a pre-trained U-Net leads to repetitive and disordered image patterns. Although recent studies make efforts to improve generative quality by…
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…