11 citations · 22 across the 6 of their papers we have counts for
6 papers
Swift Sampler: Efficient Learning of Sampler by 10 Parameters
Jiawei Yao, Chuming Li, Canran Xiao
Data selection is essential for training deep learning models. An effective data sampler assigns proper sampling probability for training data and helps the model converge to a goo…
Building Lane-Level Maps from Aerial Images
Jiawei Yao, Xiaochao Pan, Tong Wu +1
Detecting lane lines from sensors is becoming an increasingly significant part of autonomous driving systems. However, less development has been made on high-definition lane-level…
DepthSSC: Monocular 3D Semantic Scene Completion via Depth-Spatial Alignment and Voxel Adaptation
Jiawei Yao, Jusheng Zhang, Xiaochao Pan +2
The task of 3D semantic scene completion using monocular cameras is gaining significant attention in the field of autonomous driving. This task aims to predict the occupancy status…
QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied Contexts
Jiawei Yao, Yingxin Lai, Hongrui Kou +2
3D object detection plays a pivotal role in autonomous driving and robotics, demanding precise interpretation of Bird's Eye View (BEV) images. The dynamic nature of real-world envi…
HarmonicNeRF: Geometry-Informed Synthetic View Augmentation for 3D Scene Reconstruction in Driving Scenarios
Xiaochao Pan, Jiawei Yao, Hongrui Kou +2
In the realm of autonomous driving, achieving precise 3D reconstruction of the driving environment is critical for ensuring safety and effective navigation. Neural Radiance Fields…
Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal
Xiao Feng Zhang, Tian Yi Song, Jia Wei Yao
Segment Anything (SAM), an advanced universal image segmentation model trained on an expansive visual dataset, has set a new benchmark in image segmentation and computer vision. Ho…