4 citations · 4 across the 5 of their papers we have counts for
5 papers
ZeroBP: Learning Position-Aware Correspondence for Zero-shot 6D Pose Estimation in Bin-Picking
Jianqiu Chen, Zikun Zhou, Xin Li +3
Bin-picking is a practical and challenging robotic manipulation task, where accurate 6D pose estimation plays a pivotal role. The workpieces in bin-picking are typically textureles…
MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking
Xinqi Liu, Li Zhou, Zikun Zhou +2
The vision-language tracking task aims to perform object tracking based on various modality references. Existing Transformer-based vision-language tracking methods have made remark…
ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes
Jianqiu Chen, Zikun Zhou, Mingshan Sun +4
Many robotics and industry applications have a high demand for the capability to estimate the 6D pose of novel objects from the cluttered scene. However, existing classic pose esti…
Geo6D: Geometric Constraints Learning for 6D Pose Estimation
Jianqiu Chen, Mingshan Sun, Ye Zheng +7
Numerous 6D pose estimation methods have been proposed that employ end-to-end regression to directly estimate the target pose parameters. Since the visible features of objects are…
Global Tracking via Ensemble of Local Trackers
Zikun Zhou, Jianqiu Chen, Wenjie Pei +3
The crux of long-term tracking lies in the difficulty of tracking the target with discontinuous moving caused by out-of-view or occlusion. Existing long-term tracking methods follo…