Recent augmentation-based methods showed that message-passing (MP) neural networks often perform poorly on low-degree nodes, leading to degree biases due to a lack of messages reaching low-degree ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
Abstract: Video snapshot compressive imaging (SCI) utilizes a 2D detector to capture sequential video frames and compress them into a single measurement. Various reconstruction methods have been ...
. ├── scglue # Main Python package ├── data # Data files ├── evaluation # Method evaluation pipelines ├── experiments # Experiments and case studies ├── tests # Unit tests for the Python package ├── ...
Abstract: Graph convolutional networks (GCN) have attracted increasing interest in action recognition in recent years. GCN models human skeleton sequences as spatio-temporal graphs. Also, attention ...
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