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pro vyhledávání: '"Guo, WenXuan"'
Gait recognition is a crucial biometric identification technique. Camera-based gait recognition has been widely applied in both research and industrial fields. LiDAR-based gait recognition has also begun to evolve most recently, due to the provision
Externí odkaz:
http://arxiv.org/abs/2407.02038
Sports analysis and viewing play a pivotal role in the current sports domain, offering significant value not only to coaches and athletes but also to fans and the media. In recent years, the rapid development of virtual reality (VR) and augmented rea
Externí odkaz:
http://arxiv.org/abs/2405.01112
Facility location problems on graphs are ubiquitous in real world and hold significant importance, yet their resolution is often impeded by NP-hardness. Recently, machine learning methods have been proposed to tackle such classical problems, but they
Externí odkaz:
http://arxiv.org/abs/2312.15658
Autor:
Guo, Wenxuan, Toulis, Panos
In this paper, we develop invariance-based procedures for testing and inference in high-dimensional regression models. These procedures, also known as randomization tests, provide several important advantages. First, for the global null hypothesis of
Externí odkaz:
http://arxiv.org/abs/2312.15079
Several methods have been proposed to estimate 3D human pose from multi-view images, achieving satisfactory performance on public datasets collected under relatively simple conditions. However, there are limited approaches studying extracting 3D huma
Externí odkaz:
http://arxiv.org/abs/2312.06409
In this paper, we present a novel registration framework, HumanReg, that learns a non-rigid transformation between two human point clouds end-to-end. We introduce body prior into the registration process to efficiently handle this type of point cloud
Externí odkaz:
http://arxiv.org/abs/2312.05462
Autor:
Guo, Wenxuan, Pan, Zhiyu, Liang, Yingping, Xi, Ziheng, Zhong, Zhi Chen, Feng, Jianjiang, Zhou, Jie
Camera-based person re-identification (ReID) systems have been widely applied in the field of public security. However, cameras often lack the perception of 3D morphological information of human and are susceptible to various limitations, such as ina
Externí odkaz:
http://arxiv.org/abs/2312.03033
3D human pose estimation in outdoor environments has garnered increasing attention recently. However, prevalent 3D human pose datasets pertaining to outdoor scenes lack diversity, as they predominantly utilize only one type of modality (RGB image or
Externí odkaz:
http://arxiv.org/abs/2308.00628
Multi-view imaging systems enable uniform coverage of 3D space and reduce the impact of occlusion, which is beneficial for 3D object detection and tracking accuracy. However, existing imaging systems built with multi-view cameras or depth sensors are
Externí odkaz:
http://arxiv.org/abs/2302.10465
Autor:
Li, Yang, Chen, Xinyan, Guo, Wenxuan, Li, Xijun, Luo, Wanqian, Huang, Junhua, Zhen, Hui-Ling, Yuan, Mingxuan, Yan, Junchi
Industrial SAT formula generation is a critical yet challenging task. Existing SAT generation approaches can hardly simultaneously capture the global structural properties and maintain plausible computational hardness. We first present an in-depth an
Externí odkaz:
http://arxiv.org/abs/2302.02104