25 citations · 58 across the 8 of their papers we have counts for
8 papers
NT-ViT: Neural Transcoding Vision Transformers for EEG-to-fMRI Synthesis
Romeo Lanzino, Federico Fontana, Luigi Cinque +2
This paper introduces the Neural Transcoding Vision Transformer (\modelname), a generative model designed to estimate high-resolution functional Magnetic Resonance Imaging (fMRI) s…
Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset
Xiaomeng Zhu, Talha Bilal, Pär Mårtensson +3
This paper is about effectively utilizing synthetic data for training deep neural networks for industrial parts classification, in particular, by taking into account the domain gap…
Noisy Image Segmentation With Soft-Dice
Marcus Nordström, Henrik Hult, Atsuto Maki +1
This paper presents a study on the soft-Dice loss, one of the most popular loss functions in medical image segmentation, for situations where noise is present in target labels. In…
Time-series Anomaly Detection based on Difference Subspace between Signal Subspaces
Takumi Kanai, Naoya Sogi, Atsuto Maki +1
This paper proposes a new method for anomaly detection in time-series data by incorporating the concept of difference subspace into the singular spectrum analysis (SSA). The key id…
An analysis of over-sampling labeled data in semi-supervised learning with FixMatch
Miquel Martí i Rabadán, Sebastian Bujwid, Alessandro Pieropan +2
Most semi-supervised learning methods over-sample labeled data when constructing training mini-batches. This paper studies whether this common practice improves learning and how. W…
A Sensorimotor Reinforcement Learning Framework for Physical Human-Robot Interaction
Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki +2
Modeling of physical human-robot collaborations is generally a challenging problem due to the unpredictive nature of human behavior. To address this issue, we present a data-effici…