Concept
Multi-scale approaches
Related publications (32)
SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention
Pascal Frossard, Chenglin Li, Li Wei, Qin Yang, Yuelei Li
Viewers of 360-degree videos are provided with both visual modality to characterize their surrounding views and audio modality to indicate the sound direction. Though both modalities are important for saliency prediction, little work has been done by joint ...
Ieee-Inst Electrical Electronics Engineers Inc2024Influence of pore-scale heterogeneity on the precipitation patterns in Microbially Induced Calcite Precipitation (MICP)
The principle of tailoring material properties to improve the mechanical behaviour of soils through compaction or cement grouting dates to the 60s. The increasing trends of urbanization worldwide require new solutions for the development of resilient and s ...
EPFL2023DESI mock challenge Halo and galaxy catalogues with the bias assignment method
Cheng Zhao, Ginevra Favole, Yu Yu
Context. We present a novel approach to the construction of mock galaxy catalogues for large-scale structure analysis based on the distribution of dark matter halos obtained with effective bias models at the field level. Aims. We aim to produce mock galaxy ...
EDP SCIENCES S A2023On Smoothed Explanations: Quality and Robustness
Pascal Frossard, Seyed Mohsen Moosavi Dezfooli, Michail Vlachos, Ahmad Ajalloeian
Explanation methods highlight the importance of the input features in taking a predictive decision, and represent a solution to increase the transparency and trustworthiness in machine learning and deep neural networks (DNNs). However, explanation methods ...
New York2022Multi-scale approach for the prediction of atomic scale properties
Michele Ceriotti, Jigyasa Nigam, Andrea Grisafi
Electronic nearsightedness is one of the fundamental principles that governs the behavior of condensed matter and supports its description in terms of local entities such as chemical bonds. Locality also underlies the tremendous success of machine-learning ...
2021Emerging Threats of Synthetic Biology and Biotechnology. Addressing Security and Resilience Issues
Synthetic biology is a field of biotechnology that is rapidly growing in various applications, such as in medicine, environmental sustainability, and energy production. However these technologies also have unforeseen risks and applications to humans and th ...
Springer2021Pyramid Architecture Search for Real-Time Image Deblurring
Multi-scale and multi-patch deep models have been shown effective in removing blurs of dynamic scenes. However, these methods still suffer from one major obstacle: manually designing a lightweight and high-efficiency network is challenging and time-consumi ...
IEEE2021ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture
Pascal Fua, Mathieu Salzmann, Helge Jochen Rhodin, Sena Kiciroglu, Sudipta Sinha
The accuracy of monocular 3D human pose estimation depends on the viewpoint from which the image is captured. While freely moving cameras, such as on drones, provide control over this viewpoint, automatically positioning them at the location which will yie ...
IEEE2020A deep learning framework for matching of SAR and optical imagery
Devis Tuia, Sylvain Lobry, Lloyd Haydn Hughes
SAR and optical imagery provide highly complementary information about observed scenes. A combined use of these two modalities is thus desirable in many data fusion scenarios. However, any data fusion task requires measurements to be accurately aligned. Wh ...
2020Connectome spectral analysis to track EEG task dynamics on a subsecond scale
David Pascucci, Sébastien Tourbier, Patric Hagmann, Gijs Plomp, Michaël Defferrard
We present an approach for tracking fast spatiotemporal cortical dynamics in which we combine white matter connectivity data with source-projected electroencephalographic (EEG) data. We employ the mathematical framework of graph signal processing in order ...
2020