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pro vyhledávání: '"Lim, Jia Syuen"'
In the Detection and Multi-Object Tracking of Sweet Peppers Challenge, we present Track Any Peppers (TAP) - a weakly supervised ensemble technique for sweet peppers tracking. TAP leverages the zero-shot detection capabilities of vision-language found
Externí odkaz:
http://arxiv.org/abs/2411.06702
Autor:
Chen, Zhi, Wei, Tianqi, Zhao, Zecheng, Lim, Jia Syuen, Luo, Yadan, Zhang, Hu, Yu, Xin, Chapman, Scott, Huang, Zi
In modern agriculture, precise monitoring of plants and fruits is crucial for tasks such as high-throughput phenotyping and automated harvesting. This paper addresses the challenge of reconstructing accurate 3D shapes of fruits from partial views, wh
Externí odkaz:
http://arxiv.org/abs/2409.08443
Autor:
Lim, Jia Syuen, Chen, Zhuoxiao, Baktashmotlagh, Mahsa, Chen, Zhi, Yu, Xin, Huang, Zi, Luo, Yadan
Class-agnostic object detection (OD) can be a cornerstone or a bottleneck for many downstream vision tasks. Despite considerable advancements in bottom-up and multi-object discovery methods that leverage basic visual cues to identify salient objects,
Externí odkaz:
http://arxiv.org/abs/2406.14924
Autor:
Lim, Jia Syuen, Wang, Ziwei, Liu, Jiajun, Khamis, Abdelwahed, Arablouei, Reza, Barlow, Robert, McAllister, Ryan
Regulatory compliance auditing across diverse industrial domains requires heightened quality assurance and traceability. Present manual and intermittent approaches to such auditing yield significant challenges, potentially leading to oversights in th
Externí odkaz:
http://arxiv.org/abs/2310.03333