Zobrazeno 1 - 10
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pro vyhledávání: '"Liu, Shaohui"'
Autor:
Liu, Shaohui, Gao, Yidan, Zhang, Tianyi, Pautrat, Rémi, Schönberger, Johannes L., Larsson, Viktor, Pollefeys, Marc
Structure-from-Motion (SfM) has become a ubiquitous tool for camera calibration and scene reconstruction with many downstream applications in computer vision and beyond. While the state-of-the-art SfM pipelines have reached a high level of maturity i
Externí odkaz:
http://arxiv.org/abs/2409.19811
A Unified Approach for Learning the Dynamics of Power System Generators and Inverter-based Resources
The growing prevalence of inverter-based resources (IBRs) for renewable energy integration and electrification greatly challenges power system dynamic analysis. To account for both synchronous generators (SGs) and IBRs, this work presents an approach
Externí odkaz:
http://arxiv.org/abs/2409.14454
Autor:
Li, Lei, Peng, Songyou, Yu, Zehao, Liu, Shaohui, Pautrat, Rémi, Yin, Xiaochuan, Pollefeys, Marc
Real-world objects and environments are predominantly composed of edge features, including straight lines and curves. Such edges are crucial elements for various applications, such as CAD modeling, surface meshing, lane mapping, etc. However, existin
Externí odkaz:
http://arxiv.org/abs/2405.19295
Autor:
Wang, Guangming, Pan, Lei, Peng, Songyou, Liu, Shaohui, Xu, Chenfeng, Miao, Yanzi, Zhan, Wei, Tomizuka, Masayoshi, Pollefeys, Marc, Wang, Hesheng
Meticulous 3D environment representations have been a longstanding goal in computer vision and robotics fields. The recent emergence of neural implicit representations has introduced radical innovation to this field as implicit representations enable
Externí odkaz:
http://arxiv.org/abs/2405.01333
Convolutional Neural Network (CNN) and Transformer have attracted much attention recently for video post-processing (VPP). However, the interaction between CNN and Transformer in existing VPP methods is not fully explored, leading to inefficient comm
Externí odkaz:
http://arxiv.org/abs/2404.14709
Existing image compressed sensing (CS) coding frameworks usually solve an inverse problem based on measurement coding and optimization-based image reconstruction, which still exist the following two challenges: 1) The widely used random sampling matr
Externí odkaz:
http://arxiv.org/abs/2402.19111
Autor:
Wang, Yilun, Zhang, Yuqing, Bennell, Kim, White, Daniel Kenta, Wei, Jie, Wu, Ziying, He, Hongyi, Liu, Shaohui, Luo, Xianghang, Hu, Shuo, Zeng, Chao, Lei, Guanghua
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 10, p e21632 (2020)
BackgroundPhysical distancing measures taken to contain COVID-19 transmission may substantially reduce physical activity levels and cause individuals to adopt a more sedentary lifestyle. ObjectiveThe objective of this study is to determine if there
Externí odkaz:
https://doaj.org/article/5afaf64922e44def939efd33aab06076
Video Quality Assessment (VQA) aims to simulate the process of perceiving video quality by the human visual system (HVS). The judgments made by HVS are always influenced by human subjective feelings. However, most of the current VQA research focuses
Externí odkaz:
http://arxiv.org/abs/2311.07090
Poorly damped oscillations pose threats to the stability and reliability of interconnected power systems. In this work, we propose a comprehensive data-driven framework for inferring the sources of forced oscillation (FO) using solely synchrophasor m
Externí odkaz:
http://arxiv.org/abs/2310.01656
We propose an approach for estimating the relative pose between calibrated image pairs by jointly exploiting points, lines, and their coincidences in a hybrid manner. We investigate all possible configurations where these data modalities can be used
Externí odkaz:
http://arxiv.org/abs/2309.16040