One of the uncomfortable truths about multiple sclerosis is that the part of the brain likely to reveal the most about the ...
Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...
Remark: Comparing computation budget under the same setting (1 Tesla V100-32GB, 64 batch size, etc.) on NTU RGB+D 60 Cross-Subject Benchmark. *EfficientNet-B4 requires 4 times higher temporal ...
Abstract: Learning and processing of signals over hypergraph models have gained substantial traction owing to the ability of hypergraphs in characterizing multilateral interactions. In this work, we ...
Abstract: Hypergraph learning has been widely exploited in various image processing applications, due to its advantages in modeling the high-order information. Its efficacy highly depends on building ...
Accurate diagnosis of neurodevelopmental disorders relies on understanding the complex interactions and high-order relationships between brain regions. This work aims to model the subtle, ...
This study introduces a Hybrid Bimodal Model for Analog-to-Digital (ADC) and Digital-to-Analog (DAC) signal conversions, addressing limitations of traditional systems, such as inefficiencies in speed, ...
This paper proposes a hypergraph transformer method for modeling high-order correlations between functional and structural brain networks. By utilizing hypergraphs, we can effectively capture the high ...
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