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pro vyhledávání: '"Skeleton graph"'
Akademický článek
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Autor:
Jin, Shuowei, Wu, Yongji, Zheng, Haizhong, Zhang, Qingzhao, Lentz, Matthew, Mao, Z. Morley, Prakash, Atul, Qian, Feng, Zhuo, Danyang
Large language models (LLMs) have seen significant adoption for natural language tasks, owing their success to massive numbers of model parameters (e.g., 70B+); however, LLM inference incurs significant computation and memory costs. Recent approaches
Externí odkaz:
http://arxiv.org/abs/2402.12280
Akademický článek
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Autor:
Rao, Haocong, Miao, Chunyan
Person re-identification (re-ID) via 3D skeleton data is an emerging topic with prominent advantages. Existing methods usually design skeleton descriptors with raw body joints or perform skeleton sequence representation learning. However, they typica
Externí odkaz:
http://arxiv.org/abs/2303.06819
Autonomous ultrasound (US) imaging has gained increased interest recently, and it has been seen as a potential solution to overcome the limitations of free-hand US examinations, such as inter-operator variations. However, it is still challenging to a
Externí odkaz:
http://arxiv.org/abs/2307.03800
Autonomous ultrasound (US) scanning has attracted increased attention, and it has been seen as a potential solution to overcome the limitations of conventional US examinations, such as inter-operator variations. However, it is still challenging to au
Externí odkaz:
http://arxiv.org/abs/2305.08228
In recent years, mobile robots are becoming ambitious and deployed in large-scale scenarios. Serving as a high-level understanding of environments, a sparse skeleton graph is beneficial for more efficient global planning. Currently, existing solution
Externí odkaz:
http://arxiv.org/abs/2208.04248
Akademický článek
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Publikováno v:
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2021
Several applications such as autonomous driving, augmented reality and virtual reality require a precise prediction of the 3D human pose. Recently, a new problem was introduced in the field to predict the 3D human poses from observed 2D poses. We pro
Externí odkaz:
http://arxiv.org/abs/2109.10257
SM-SGE: A Self-Supervised Multi-Scale Skeleton Graph Encoding Framework for Person Re-Identification
Person re-identification via 3D skeletons is an emerging topic with great potential in security-critical applications. Existing methods typically learn body and motion features from the body-joint trajectory, whereas they lack a systematic way to mod
Externí odkaz:
http://arxiv.org/abs/2107.01903