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Found 9 papers, 3 papers with code
Beyond the Metaverse: XV (eXtended meta/uni/Verse)
We, and many others, use XR (eXtended Reality) as a broad umbrella term and concept to encompass all the other realities, where X is an ``anything'' variable, like in mathematics, to denote any reality, X $\in$ \{physical, virtual, augmented, \ldots \} reality.
Ghost-free High Dynamic Range Imaging via Hybrid CNN-Transformer and Structure Tensor
In this letter, we present a hybrid model consisting of a convolutional encoder and a Transformer decoder to generate ghost-free HDR images.
Learning to Kindle the Starlight
Capturing highly appreciated star field images is extremely challenging due to light pollution, the requirements of specialized hardware, and the high level of photographic skills needed.
Multimodal Image Fusion based on Hybrid CNN-Transformer and Non-local Cross-modal Attention
In this article, we present a hybrid model consisting of a convolutional encoder and a Transformer-based decoder to fuse multimodal images.
Sentence Level Human Translation Quality Estimation with Attention-based Neural Networks
This paper explores the use of Deep Learning methods for automatic estimation of quality of human translations.
Feature-Less End-to-End Nested Term Extraction
In this paper, we proposed a deep learning-based end-to-end method on the domain specified automatic term extraction (ATE), it considers possible term spans within a fixed length in the sentence and predicts them whether they can be conceptual terms.
MoBiL: A Hybrid Feature Set for Automatic Human Translation Quality Assessment
We compare MoBiL with the QuEst baseline set by using them in classifiers trained with support vector machine and relevance vector machine learning algorithms on the same data set.
