26 citations · 49 across the 6 of their papers we have counts for
6 papers
OpenTrack3D: Towards Accurate and Generalizable Open-Vocabulary 3D Instance Segmentation
Zhishan Zhou, Siyuan Wei, Zengran Wang +3
Generalizing open-vocabulary 3D instance segmentation (OV-3DIS) to diverse, unstructured, and mesh-free environments is crucial for robotics and AR/VR, yet remains a significant ch…
Breaking the SSL-AL Barrier: A Synergistic Semi-Supervised Active Learning Framework for 3D Object Detection
Zengran Wang, Yanan Zhang, Jiaxin Chen +1
To address the annotation burden in LiDAR-based 3D object detection, active learning (AL) methods offer a promising solution. However, traditional active learning approaches solely…
Vision-based 3D occupancy prediction in autonomous driving: a review and outlook
Yanan Zhang, Jinqing Zhang, Zengran Wang +2
In recent years, autonomous driving has garnered escalating attention for its potential to relieve drivers' burdens and improve driving safety. Vision-based 3D occupancy prediction…
Close-up View synthesis by Interpolating Optical Flow
Xinyi Bai, Ze Wang, Lu Yang +1
The virtual viewpoint is perceived as a new technique in virtual navigation, as yet not supported due to the lack of depth information and obscure camera parameters. In this paper,…
STS: Surround-view Temporal Stereo for Multi-view 3D Detection
Zengran Wang, Chen Min, Zheng Ge +4
Learning accurate depth is essential to multi-view 3D object detection. Recent approaches mainly learn depth from monocular images, which confront inherent difficulties due to the…
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection
Yinhao Li, Zheng Ge, Guanyi Yu +5
In this research, we propose a new 3D object detector with a trustworthy depth estimation, dubbed BEVDepth, for camera-based Bird's-Eye-View (BEV) 3D object detection. Our work is…