This paper focuses on term-status pair extraction from medical dialogues...
Employing additional multimodal information to improve automatic speech
...
Multi-modality image fusion is a technique used to combine information f...
Large language models (LLMs) have demonstrated remarkable language abili...
Guided depth map super-resolution (GDSR), as a hot topic in multi-modal ...
Multi-modality image fusion aims to combine different modalities to prod...
Medical Slot Filling (MSF) task aims to convert medical queries into
str...
Large-scale pre-trained language models (PLMs) with powerful language
mo...
Multi-modality (MM) image fusion aims to render fused images that mainta...
Visual Dialog is a challenging vision-language task since the visual dia...
Selecting an appropriate response from many candidates given the utteran...
In the past few years, the emergence of pre-training models has brought
...
Guided depth super-resolution (GDSR) is a hot topic in multi-modal image...
Pansharpening is a fundamental issue in remote sensing field. This paper...
Pan-sharpening is an important technique for remote sensing imaging syst...
Pansharpening is a widely used image enhancement technique for remote
se...
Light field data exhibit favorable characteristics conducive to saliency...
End-to-end speech-to-text translation (ST), which directly translates th...
Multi-Focus Image Fusion (MFIF) is one of the promising techniques to ob...
An end-to-end speech-to-text translation (ST) takes audio in a source
la...
Infrared and visible image fusion, as a hot topic in image processing an...
End-to-end models are gaining wider attention in the field of automatic
...
Image fusion is a significant problem in many fields including digital
p...
Infrared and visible image fusion expects to obtain images that highligh...
Infrared and visible image fusion has been a hot issue in image fusion. ...
Multi-focus image fusion (MFF) is a fundamental task in the field of
com...
The spatiotemporal information plays crucial roles in a multi-agent syst...
Sparse representation based classification (SRC) methods have achieved
r...
Low-rank matrix factorization (LRMF) has received much popularity owing ...
Complex network reconstruction is a hot topic in many fields. A popular
...
In this paper, we propose a single-channel speech dereverberation system...
Sequence-to-sequence attention-based models integrate an acoustic,
pronu...
The choice of modeling units is critical to automatic speech recognition...
Sequence-to-sequence attention-based models have recently shown very
pro...