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07/30/2023
A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction
This paper focuses on term-status pair extraction from medical dialogues...
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05/31/2023
ViLaS: Integrating Vision and Language into Automatic Speech Recognition
Employing additional multimodal information to improve automatic speech ...
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05/19/2023
Equivariant Multi-Modality Image Fusion
Multi-modality image fusion is a technique used to combine information f...
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05/07/2023
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages
Large language models (LLMs) have demonstrated remarkable language abili...
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03/15/2023
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution
Guided depth map super-resolution (GDSR), as a hot topic in multi-modal ...
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03/13/2023
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
Multi-modality image fusion aims to combine different modalities to prod...
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03/02/2023
Matching-based Term Semantics Pre-training for Spoken Patient Query Understanding
Medical Slot Filling (MSF) task aims to convert medical queries into str...
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01/30/2023
Knowledge Transfer from Pre-trained Language Models to Cif-based Speech Recognizers via Hierarchical Distillation
Large-scale pre-trained language models (PLMs) with powerful language mo...
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11/26/2022
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion
Multi-modality (MM) image fusion aims to render fused images that mainta...
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04/15/2022
Improving Cross-Modal Understanding in Visual Dialog via Contrastive Learning
Visual Dialog is a challenging vision-language task since the visual dia...
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03/01/2022
Two-Level Supervised Contrastive Learning for Response Selection in Multi-Turn Dialogue
Selecting an appropriate response from many candidates given the utteran...
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02/18/2022
VLP: A Survey on Vision-Language Pre-training
In the past few years, the emergence of pre-training models has brought ...
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04/14/2021
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution
Guided depth super-resolution (GDSR) is a hot topic in multi-modal image...
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03/10/2021
Deep Convolutional Sparse Coding Network for Pansharpening with Guidance of Side Information
Pansharpening is a fundamental issue in remote sensing field. This paper...
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03/08/2021
Deep Gradient Projection Networks for Pan-sharpening
Pan-sharpening is an important technique for remote sensing imaging syst...
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12/31/2020
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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12/30/2020
DUT-LFSaliency: Versatile Dataset and Light Field-to-RGB Saliency Detection
Light field data exhibit favorable characteristics conducive to saliency...
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09/21/2020
SDST: Successive Decoding for Speech-to-text Translation
End-to-end speech-to-text translation (ST), which directly translates th...
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09/21/2020
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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09/21/2020
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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09/02/2020
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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05/20/2020
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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05/18/2020
Deep Convolutional Sparse Coding Networks for Image Fusion
Image fusion is a significant problem in many fields including digital p...
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05/12/2020
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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05/12/2020
Bayesian Fusion for Infrared and Visible Images
Infrared and visible image fusion has been a hot issue in image fusion. ...
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02/12/2020
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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11/27/2019
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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02/09/2019
Inverse Projection Representation and Category Contribution Rate for Robust Tumor Recognition
Sparse representation based classification (SRC) methods have achieved r...
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01/01/2019
Adaptive Quantile Low-Rank Matrix Factorization
Low-rank matrix factorization (LRMF) has received much popularity owing ...
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12/11/2018
Variational Bayesian Complex Network Reconstruction
Complex network reconstruction is a hot topic in many fields. A popular ...
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06/25/2018
Single-channel Speech Dereverberation via Generative Adversarial Training
In this paper, we propose a single-channel speech dereverberation system...
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06/12/2018
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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05/16/2018
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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04/28/2018
