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08/21/2023
Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models
After the inception of emotion recognition or affective computing, it ha...
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03/13/2023
Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection
Federated learning (FL) aided health diagnostic models can incorporate d...
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04/23/2022
Indoor simultaneous localization and mapping based on fringe projection profilometry
Simultaneous Localization and Mapping (SLAM) plays an important role in ...
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02/17/2022
A Summary of the ComParE COVID-19 Challenges
The COVID-19 pandemic has caused massive humanitarian and economic damag...
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01/04/2022
COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study
Recent work has shown the potential of the use of audio data in screenin...
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12/16/2021
Benchmarking Uncertainty Qualification on Biosignal Classification Tasks under Dataset Shift
A biosignal is a signal that can be continuously measured from human bod...
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12/10/2021
A Reinforcement Learning-based Adaptive Control Model for Future Street Planning, An Algorithm and A Case Study
With the emerging technologies in Intelligent Transportation System (ITS...
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09/06/2021
End to end hyperspectral imaging system with coded compression imaging process
Hyperspectral images (HSIs) can provide rich spatial and spectral inform...
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08/09/2021
Segmentation-free Heart Pathology Detection Using Deep Learning
Cardiovascular (CV) diseases are the leading cause of death in the world...
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06/29/2021
Sounds of COVID-19: exploring realistic performance of audio-based digital testing
Researchers have been battling with the question of how we can identify ...
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04/19/2021
Fitbeat: COVID-19 Estimation based on Wristband Heart Rate
This study investigates the potential of deep learning methods to identi...
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04/05/2021
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data
Recently, sound-based COVID-19 detection studies have shown great promis...
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03/26/2021
Base Station Network Traffic Prediction Approach Based on LMA-DeepAR
Accurate network traffic prediction of base station cell is very vital f...
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02/24/2021
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation Primates
The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses f...
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02/10/2021
Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data
The development of fast and accurate screening tools, which could facili...
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12/28/2020
Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentation
Point cloud segmentation is a fundamental visual understanding task in 3...
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11/18/2020
CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification
Acoustic Scene Classification (ASC) aims to classify the environment in ...
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08/09/2020
LiDAR Data Enrichment Using Deep Learning Based on High-Resolution Image: An Approach to Achieve High-Performance LiDAR SLAM Using Low-cost LiDAR
LiDAR-based SLAM algorithms are extensively studied to providing robust ...
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06/10/2020
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data
Audio signals generated by the human body (e.g., sighs, breathing, heart...
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04/30/2020
An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety
The COVID-19 outbreak was announced as a global pandemic by the World He...
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10/20/2019
Learning-based real-time method to looking through scattering medium oriented to practical application
Strong scattering media brings great difficulties to optical imaging, wh...
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07/23/2019
EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings
Despite remarkable advances in emotion recognition, they are severely re...
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06/29/2019
Non-destructive three-dimensional measurement of hand vein based on self-supervised network
At present, supervised stereo methods based on deep neural network have ...
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06/29/2019
High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing
In this paper, we present a convolution neural network based method to r...
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06/26/2019
Low-Complexity Equalization of MIMO-OSDM
Orthogonal signal-division multiplexing (OSDM) is an attractive alternat...
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03/29/2019
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data
One of the frontier issues that severely hamper the development of autom...
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03/23/2019
Residual Pyramid Learning for Single-Shot Semantic Segmentation
Pixel-level semantic segmentation is a challenging task with a huge amou...
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01/09/2019
SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild
Natural human-computer interaction and audio-visual human behaviour sens...
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10/26/2018
Scaling Speech Enhancement in Unseen Environments with Noise Embeddings
We address the problem of speech enhancement generalisation to unseen en...
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09/26/2018
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction
Time-continuous emotion prediction has become an increasingly compelling...
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09/21/2018
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives
Over the past few years, adversarial training has become an extremely ac...
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07/27/2017
Learning Audio Sequence Representations for Acoustic Event Classification
Acoustic Event Classification (AEC) has become a significant task for ma...
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05/12/2017
Learning to Refine Object Contours with a Top-Down Fully Convolutional Encoder-Decoder Network
We develop a novel deep contour detection algorithm with a top-down full...
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05/13/2002