Yuanjie Yu — accepted AI-conference papers

2024

LiteSAM is Actually what you Need for segment Everything

Jianhai Fu, Yuanjie Yu, Ningchuan Li*, Yi Zhang, Qichao Chen, Jianping Xiong +2

ECCV 2024poster

"The Segment Anything model (SAM) has brought significant changes to the segmentation field with its superior performance, but its extensive computational resource requirements remain a limiting factor. Many works, such as MobileSAM, Edge-SAM, and MobileSAM-v2, have explored lightweight solutions. H…

Cited by 7 Source ↗PDF ↗Scholar ↗

2022

Data-Driven Kinematic Control Scheme for Cable-Driven Parallel Robots Allowing Collisions

Yongwei Zou, Yusheng Hu, Huanhui Cao, Yuchen Xu, Yuanjie Yu, Wenjie Lu +1

IROS 2022poster

Cable-Driven Parallel Robots (CDPRs) have been proposed for a variety of applications such as material handling, rehabilitation, and instrumentation. However, the collision-free constraint of CDPRs limits the workspace of CDPRs and the feasible position of anchor points. To address the collision-fre…

Cited by 10 Source ↗Scholar ↗