Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Qiu, Xuchong"'
Point cloud segmentation is an important topic in 3D understanding that has traditionally has been tackled using either the CNN or Transformer. Recently, Mamba has emerged as a promising alternative, offering efficient long-range contextual modeling
Externí odkaz:
http://arxiv.org/abs/2410.21211
Open-vocabulary panoptic segmentation is an emerging task aiming to accurately segment the image into semantically meaningful masks based on a set of texts. Despite existing efforts, it remains challenging to develop a high-performing method that gen
Externí odkaz:
http://arxiv.org/abs/2409.16278
Autor:
Xiong, Heng, Guo, Changrong, Peng, Jian, Ding, Kai, Chen, Wenjie, Qiu, Xuchong, Bai, Long, Xu, Jianfeng
Robotic object packing has broad practical applications in the logistics and automation industry, often formulated by researchers as the online 3D Bin Packing Problem (3D-BPP). However, existing DRL-based methods primarily focus on enhancing performa
Externí odkaz:
http://arxiv.org/abs/2409.05344
Autor:
He, Zhuolin, Li, Xinrun, Gao, Heng, Tang, Jiachen, Qiu, Shoumeng, Wang, Wenfu, Lu, Lvjian, Qiu, Xuchong, Xue, Xiangyang, Pu, Jian
Traditional camera 3D object detectors are typically trained to recognize a predefined set of known object classes. In real-world scenarios, these detectors may encounter unknown objects outside the training categories and fail to identify them corre
Externí odkaz:
http://arxiv.org/abs/2406.17297
Referring Image Segmentation (RIS) is a challenging task that requires an algorithm to segment objects referred by free-form language expressions. Despite significant progress in recent years, most state-of-the-art (SOTA) methods still suffer from co
Externí odkaz:
http://arxiv.org/abs/2312.12198
Publikováno v:
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems
The accurate and robust calibration result of sensors is considered as an important building block to the follow-up research in the autonomous driving and robotics domain. The current works involving extrinsic calibration between 3D LiDARs and monocu
Externí odkaz:
http://arxiv.org/abs/2311.02413
We formalize concepts around geometric occlusion in 2D images (i.e., ignoring semantics), and propose a novel unified formulation of both occlusion boundaries and occlusion orientations via a pixel-pair occlusion relation. The former provides a way t
Externí odkaz:
http://arxiv.org/abs/2007.12088
Most deep pose estimation methods need to be trained for specific object instances or categories. In this work we propose a completely generic deep pose estimation approach, which does not require the network to have been trained on relevant categori
Externí odkaz:
http://arxiv.org/abs/1906.05105