Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Cheng, Haozhe"'
3D contrastive representation learning has exhibited remarkable efficacy across various downstream tasks. However, existing contrastive learning paradigms based on cosine similarity fail to deeply explore the potential intra-modal hierarchical and cr
Externí odkaz:
http://arxiv.org/abs/2409.15810
Invariance-based and generative methods have shown a conspicuous performance for 3D self-supervised representation learning (SSRL). However, the former relies on hand-crafted data augmentations that introduce bias not universally applicable to all do
Externí odkaz:
http://arxiv.org/abs/2409.15803
Autor:
Ju, Chen, Wang, Haicheng, Cheng, Haozhe, Chen, Xu, Zhai, Zhonghua, Huang, Weilin, Lan, Jinsong, Xiao, Shuai, Zheng, Bo
Vision-Language Large Models (VLMs) recently become primary backbone of AI, due to the impressive performance. However, their expensive computation costs, i.e., throughput and delay, impede potentials in the real-world scenarios. To achieve accelerat
Externí odkaz:
http://arxiv.org/abs/2407.11717
Autor:
Cheng, Haozhe, Ju, Cheng, Wang, Haicheng, Liu, Jinxiang, Chen, Mengting, Hu, Qiang, Zhang, Xiaoyun, Wang, Yanfeng
As one of the fundamental video tasks in computer vision, Open-Vocabulary Action Recognition (OVAR) recently gains increasing attention, with the development of vision-language pre-trainings. To enable generalization of arbitrary classes, existing me
Externí odkaz:
http://arxiv.org/abs/2404.14890
Autor:
Shi, Pengcheng, Zhang, Jie, Cheng, Haozhe, Wang, Junyang, Zhou, Yiyang, Zhao, Chenlin, Zhu, Jihua
Point cloud registration is a fundamental problem in many domains. Practically, the overlap between point clouds to be registered may be relatively small. Most unsupervised methods lack effective initial evaluation of overlap, leading to suboptimal r
Externí odkaz:
http://arxiv.org/abs/2308.09364
Point cloud completion estimates complete shapes from incomplete point clouds to obtain higher-quality point cloud data. Most existing methods only consider global object features, ignoring spatial and semantic information of adjacent points. They ca
Externí odkaz:
http://arxiv.org/abs/2305.09132
Autor:
Yan, Wenbiao, Zhu, Jihua, Chen, Jinqian, Cheng, Haozhe, Bai, Shunshun, Duan, Liang, Zheng, Qinghai
Publikováno v:
In Neural Networks February 2025 182
Publikováno v:
In Food Bioscience August 2024 60
Publikováno v:
Zhongguo quanke yixue, Vol 26, Iss 28, Pp 3482-3488 (2023)
Background Hypertension and diabetes are two major chronic diseases affecting population health, and need to be controlled through chronic diseases follow-up. However, there is currently insufficient understanding of the impact of different chronic d
Externí odkaz:
https://doaj.org/article/2d0f443e8e014966a18f86ca4984bc7c
Publikováno v:
Zhongguo quanke yixue, Vol 26, Iss 25, Pp 3133-3139 (2023)
Background The free training for rural order-oriented medical students has trained a large number of primary health personnel for the central and western regions of China. By the summer of 2021, the first order-oriented medical graduates had complete
Externí odkaz:
https://doaj.org/article/40ac4ad4400d4707b37f4202d01ebb2d