1 citations · 4 across the 5 of their papers we have counts for
5 papers
Fully Exploiting Vision Foundation Model's Profound Prior Knowledge for Generalizable RGB-Depth Driving Scene Parsing
Sicen Guo, Tianyou Wen, Chuang-Wei Liu +2
Recent vision foundation models (VFMs), typically based on Vision Transformer (ViT), have significantly advanced numerous computer vision tasks. Despite their success in tasks focu…
ODFormer: Semantic Fundus Image Segmentation Using Transformer for Optic Nerve Head Detection
Jiayi Wang, Yi-An Mao, Xiaoyu Ma +8
Optic nerve head (ONH) detection has been a crucial area of study in ophthalmology for years. However, the significant discrepancy between fundus image datasets, each generated usi…
LIX: Implicitly Infusing Spatial Geometric Prior Knowledge into Visual Semantic Segmentation for Autonomous Driving
Sicen Guo, Ziwei Long, Zhiyuan Wu +3
Despite the impressive performance achieved by data-fusion networks with duplex encoders for visual semantic segmentation, they become ineffective when spatial geometric data are n…
UDTIRI: An Online Open-Source Intelligent Road Inspection Benchmark Suite
Sicen Guo, Jiahang Li, Yi Feng +7
In the nascent domain of urban digital twins (UDT), the prospects for leveraging cutting-edge deep learning techniques are vast and compelling. Particularly within the specialized…
Computer-Aided Road Inspection: Systems and Algorithms
Rui Fan, Sicen Guo, Li Wang +1
Road damage is an inconvenience and a safety hazard, severely affecting vehicle condition, driving comfort, and traffic safety. The traditional manual visual road inspection proces…