31 citations · 46 across the 5 of their papers we have counts for
5 papers
MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving
Jiale Li, Hang Dai, Hao Han +1
LiDAR and camera are two modalities available for 3D semantic segmentation in autonomous driving. The popular LiDAR-only methods severely suffer from inferior segmentation on small…
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder
Jiale Li, Hang Dai, Ling Shao +1
In this paper, we present an Intersection-over-Union (IoU) guided two-stage 3D object detector with a voxel-to-point decoder. To preserve the necessary information from all raw poi…
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud
Jiale Li, Hang Dai, Ling Shao +1
Most of the existing single-stage and two-stage 3D object detectors are anchor-based methods, while the efficient but challenging anchor-free single-stage 3D object detection is no…
General Robot Dynamics Learning and Gen2Real
Dengpeng Xing, Jiale Li, Yiming Yang +1
Acquiring dynamics is an essential topic in robot learning, but up-to-date methods, such as dynamics randomization, need to restart to check nominal parameters, generate simulation…
3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds
Jiale Li, Shujie Luo, Ziqi Zhu +4
Most existing point cloud based 3D object detectors focus on the tasks of classification and box regression. However, another bottleneck in this area is achieving an accurate detec…