Zobrazeno 1 - 10
of 238
pro vyhledávání: '"Zhang, Jiawan"'
Publikováno v:
IEEE Transactions on Image Processing, Volume: 31; Year: 2022; Page: 5748 - 5761
Previous face inverse rendering methods often require synthetic data with ground truth and/or professional equipment like a lighting stage. However, a model trained on synthetic data or using pre-defined lighting priors is typically unable to general
Externí odkaz:
http://arxiv.org/abs/2301.06733
Mining the distribution of features and sorting items by combined attributes are two common tasks in exploring and understanding multi-attribute (or multivariate) data. Up to now, few have pointed out the possibility of merging these two tasks into a
Externí odkaz:
http://arxiv.org/abs/2208.13346
The overdraw problem of scatterplots seriously interferes with the visual tasks. Existing methods, such as data sampling, node dispersion, subspace mapping, and visual abstraction, cannot guarantee the correspondence and consistency between the data
Externí odkaz:
http://arxiv.org/abs/2208.09706
Uncalibrated photometric stereo is proposed to estimate the detailed surface normal from images under varying and unknown lightings. Recently, deep learning brings powerful data priors to this underdetermined problem. This paper presents a new method
Externí odkaz:
http://arxiv.org/abs/2208.03440
Zero-shot classification is a promising paradigm to solve an applicable problem when the training classes and test classes are disjoint. Achieving this usually needs experts to externalize their domain knowledge by manually specifying a class-attribu
Externí odkaz:
http://arxiv.org/abs/2108.06730
Publikováno v:
In Journal of Cultural Heritage March-April 2024 66:68-75
Publikováno v:
In International Journal of Human - Computer Studies March 2024 183
Financial regulatory agencies are struggling to manage the systemic risks attributed to negative economic shocks. Preventive interventions are prominent to eliminate the risks and help to build a more resilient financial system. Although tremendous e
Externí odkaz:
http://arxiv.org/abs/2104.11863
Information visualization and visual analytics technology has attracted significant attention from the financial regulation community. In this research, we present regvis.net, a visual survey of regulatory visualization that allows researchers from b
Externí odkaz:
http://arxiv.org/abs/2007.03573
Groups of enterprises can serve as guarantees for one another and form complex networks when obtaining loans from commercial banks. During economic slowdowns, corporate default may spread like a virus and lead to large-scale defaults or even systemic
Externí odkaz:
http://arxiv.org/abs/2006.09542