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FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter
Pansharpening is a widely used image enhancement technique for remote se...
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DUT-LFSaliency: Versatile Dataset and Light Field-to-RGB Saliency Detection
Light field data exhibit favorable characteristics conducive to saliency...
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SDST: Successive Decoding for Speech-to-text Translation
End-to-end speech-to-text translation (ST), which directly translates th...
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MFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image Fusion
Multi-Focus Image Fusion (MFIF) is one of the promising techniques to ob...
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TED: Triple Supervision Decouples End-to-end Speech-to-text Translation
An end-to-end speech-to-text translation (ST) takes audio in a source la...
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When Image Decomposition Meets Deep Learning: A Novel Infrared and Visible Image Fusion Method
Infrared and visible image fusion, as a hot topic in image processing an...
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A Comparison of Label-Synchronous and Frame-Synchronous End-to-End Models for Speech Recognition
End-to-end models are gaining wider attention in the field of automatic ...
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Deep Convolutional Sparse Coding Networks for Image Fusion
Image fusion is a significant problem in many fields including digital p...
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Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling
Infrared and visible image fusion expects to obtain images that highligh...
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Bayesian Fusion for Infrared and Visible Images
Infrared and visible image fusion has been a hot issue in image fusion. ...
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MFFW: A new dataset for multi-focus image fusion
Multi-focus image fusion (MFF) is a fundamental task in the field of com...
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BLAS: Broadcast Relative Localization and Clock Synchronization for Dynamic Dense Multi-Agent Systems
The spatiotemporal information plays crucial roles in a multi-agent syst...
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Inverse Projection Representation and Category Contribution Rate for Robust Tumor Recognition
Sparse representation based classification (SRC) methods have achieved r...
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Adaptive Quantile Low-Rank Matrix Factorization
Low-rank matrix factorization (LRMF) has received much popularity owing ...
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Variational Bayesian Complex Network Reconstruction
Complex network reconstruction is a hot topic in many fields. A popular ...
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Single-channel Speech Dereverberation via Generative Adversarial Training
In this paper, we propose a single-channel speech dereverberation system...
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Multilingual End-to-End Speech Recognition with A Single Transformer on Low-Resource Languages
Sequence-to-sequence attention-based models integrate an acoustic, pronu...
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A Comparison of Modeling Units in Sequence-to-Sequence Speech Recognition with the Transformer on Mandarin Chinese
The choice of modeling units is critical to automatic speech recognition...
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Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Mandarin Chinese
Sequence-to-sequence attention-based models have recently shown very pro...
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