17 citations · 24 across the 8 of their papers we have counts for
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cs.CV2023
GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds
Ziyu Li, Jingming Guo, Tongtong Cao +2
LiDAR-based 3D detection has made great progress in recent years. However, the performance of 3D detectors is considerably limited when deployed in unseen environments, owing to th…
cs.CV2021★ 17 cited
SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud
Ziyu Li, Yuncong Yao, Zhibin Quan +2
LiDAR-based 3D object detection pushes forward an immense influence on autonomous vehicles. Due to the limitation of the intrinsic properties of LiDAR, fewer points are collected a…
cs.CV2018★ 1 cited
Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories
Yaming Wang, Xiao Tan, Yi Yang +4
Existing 3D pose datasets of object categories are limited to generic object types and lack of fine-grained information. In this work, we introduce a new large-scale dataset that c…