3 citations · 3 across the 13 of their papers we have counts for
9 papers · 1 filter
InstaDA: Augmenting Instance Segmentation Data with Dual-Agent System
Xianbao Hou, Yonghao He, Zeyd Boukhers +4
Acquiring high-quality instance segmentation data is challenging due to the labor-intensive nature of the annotation process and significant class imbalances within datasets. Recen…
Unleashing Semantic and Geometric Priors for 3D Scene Completion
Shiyuan Chen, Wei Sui, Bohao Zhang +3
Camera-based 3D semantic scene completion (SSC) provides dense geometric and semantic perception for autonomous driving and robotic navigation. However, existing methods rely on a…
Monocular Depth Estimation and Segmentation for Transparent Object with Iterative Semantic and Geometric Fusion
Jiangyuan Liu, Hongxuan Ma, Yuxin Guo +4
Transparent object perception is indispensable for numerous robotic tasks. However, accurately segmenting and estimating the depth of transparent objects remain challenging due to…
A Light-Weight Framework for Open-Set Object Detection with Decoupled Feature Alignment in Joint Space
Yonghao He, Hu Su, Haiyong Yu +4
Open-set object detection (OSOD) is highly desirable for robotic manipulation in unstructured environments. However, existing OSOD methods often fail to meet the requirements of ro…
CAMAv2: A Vision-Centric Approach for Static Map Element Annotation
Shiyuan Chen, Jiaxin Zhang, Ruohong Mei +5
The recent development of online static map element (a.k.a. HD map) construction algorithms has raised a vast demand for data with ground truth annotations. However, available publ…
VRSO: Visual-Centric Reconstruction for Static Object Annotation
Chenyao Yu, Yingfeng Cai, Jiaxin Zhang +3
As a part of the perception results of intelligent driving systems, static object detection (SOD) in 3D space provides crucial cues for driving environment understanding. With the…
Gyroscope-Assisted Motion Deblurring Network
Simin Luan, Cong Yang, Zeyd Boukhers +4
Image research has shown substantial attention in deblurring networks in recent years. Yet, their practical usage in real-world deblurring, especially motion blur, remains limited…
SuperEdge: Towards a Generalization Model for Self-Supervised Edge Detection
Leng Kai, Zhang Zhijie, Liu Jie +4
Edge detection is a fundamental technique in various computer vision tasks. Edges are indeed effectively delineated by pixel discontinuity and can offer reliable structural informa…
A Vision-Centric Approach for Static Map Element Annotation
Jiaxin Zhang, Shiyuan Chen, Haoran Yin +5
The recent development of online static map element (a.k.a. HD Map) construction algorithms has raised a vast demand for data with ground truth annotations. However, available publ…