Part of the Computer Sciences Commons

Works by Jiale Li in Computer Sciences

2023

Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving, Jiale Li, Hang Dai, Yong Ding
Hang Dai

2022

Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving, Jiale Li, Hang Dai, Yong Ding
Computer Vision Faculty Publications

P2V-RCNN: point to voxel feature learning for 3D object detection from point clouds, Jiale Li, Yu Sun, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao
Hang Dai

Anchor-free 3D single stage detector with mask-guided attention for point cloud, Jiale Li, Hang Dai, Ling Shao, Yong Ding
Hang Dai

From voxel to point: IoU-guided 3D object detection for point cloud with voxel-to-point decoder, Jiale Li, Hang Dai, Ling Shao, Yong Ding
Hang Dai

3D IoU-Net: IoU Guided 3D object detector for point clouds, Jiale Li, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao
Hang Dai

2021

From voxel to point: IoU-guided 3D object detection for point cloud with voxel-to-point decoder, Jiale Li, Hang Dai, Ling Shao, Yong Ding
Computer Vision Faculty Publications

Anchor-free 3D single stage detector with mask-guided attention for point cloud, Jiale Li, Hang Dai, Ling Shao, Yong Ding
Computer Vision Faculty Publications

P2V-RCNN: point to voxel feature learning for 3D object detection from point clouds, Jiale Li, Yu Sun, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao
Computer Vision Faculty Publications

PDF

2020

3D IoU-Net: IoU Guided 3D object detector for point clouds, Jiale Li, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao
Computer Vision Faculty Publications