IEEE ICASSP 2020 Virtual Conference May 2020

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  • Multi-Task Learning Via Sa-Fpn And Ej-Head

    00:13:37
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    As a concise framework, Mask R-CNN achieves promising performance in object detection and instance segmentation. However, there is room for improvement in two aspects. One is that performing multi-task prediction needs more credible feature extraction and
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  • Upscaling Vector Approximate Message Passing

    00:10:30
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    In this paper we consider the problem of recovering a signal x of size N from noisy and compressed measurements y = A x + w of size M, where the measurement matrix A is right-orthogonally invariant (ROI). Vector Approximate Message Passing (VAMP) demonstr
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  • Mental Fatigue Prediction From Multi-Channel Ecog Signal

    00:13:28
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    Early detection of mental fatigue and changes in vigilance could be used to initiate neurostimulation to treat patients suffering from brain injury and mental disorders. In this study, we analyzed electrocorticography (ECoG) signals chronically recorded f
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  • High Dynamic Range Imaging Using Deep Image Priors

    00:15:34
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    Traditionally, dynamic range enhancement for images has involved a combination of contrast improvement (via gamma correction or histogram equalization) and a denoising operation to reduce the effects of photon noise. More recently, modulo-imaging methods
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  • Speech Synthesis Using Eeg

    00:11:47
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    In this paper we demonstrate speech synthesis using different electroencephalography (EEG) feature sets recently introduced in [1]. We make use of a recurrent neural network (RNN) regression model to predict acoustic features directly from EEG features. W
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  • Unsupervised Feature Enhancement For Speaker Verification

    00:20:20
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    The task of making speaker verification systems robust to adverse scenarios remains a challenging and an active area of research. We developed an unsupervised feature enhancement approach in log-filter bank space with the end goal of improving speaker ver
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  • Towards Real-Time, Multi-View Video Stereopsis

    00:12:27
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    We present a real-time, multi-view video stereopsis (RTMVS) algorithm. This algorithm processes five synchronized video streams from cameras of a stationary camera array using a commodity laptop computer equipped with an Nvidia GPU. It provides 3D visuali
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