research
∙
05/16/2023
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms
In this technical report, a low-complexity deep learning system for acou...
share
research
∙
04/30/2023
Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification
In this paper, we present a deep learning based multimodal system for cl...
research
∙
02/25/2023
A Light-weight Deep Learning Model for Remote Sensing Image Classification
In this paper, we present a high-performance and light-weight deep learn...
research
∙
10/16/2022
Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context
In this paper, we present a comprehensive analysis of Acoustic Scene Cla...
research
∙
06/20/2022
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network
The task of remote sensing image scene classification (RSISC), which aim...
research
∙
06/13/2022
Low-complexity deep learning frameworks for acoustic scene classification
In this report, we presents low-complexity deep learning frameworks for ...
research
∙
03/23/2022
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices
In this paper, we present a robust and low complexity system for Acousti...
research
∙
01/09/2022
An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies
In this paper, we evaluate various deep learning frameworks for detectin...
research
∙
12/16/2021
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification
This paper presents a task of audio-visual scene classification (SC) whe...
research
∙
06/12/2021
Deep Learning Frameworks Applied For Audio-Visual Scene Classification
In this paper, we present deep learning frameworks for audio-visual scen...
research
∙
06/12/2021
A Low-Compexity Deep Learning Framework For Acoustic Scene Classification
In this paper, we presents a low-complexity deep learning frameworks for...
research
∙
04/02/2020
Multi-Modal Video Forensic Platform for Investigating Post-Terrorist Attack Scenarios
The forensic investigation of a terrorist attack poses a significant cha...
research
∙
03/27/2020
Unsupervised Cross-Modal Audio Representation Learning from Unstructured Multilingual Text
We present an approach to unsupervised audio representation learning. Ba...
research
∙
02/01/2020
Multi-Modal Music Information Retrieval: Augmenting Audio-Analysis with Visual Computing for Improved Music Video Analysis
This thesis combines audio-analysis with computer vision to approach Mus...
research
∙
01/15/2020
Deep Learning for MIR Tutorial
Deep Learning has become state of the art in visual computing and contin...
research
∙
09/17/2019
Multi-Task Music Representation Learning from Multi-Label Embeddings
This paper presents a novel approach to music representation learning. T...
research
∙
04/16/2019
Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning
Predicting unscheduled breakdowns of plasma etching equipment can reduce...
research
∙
11/28/2018
Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks
The forensic investigation of a terrorist attack poses a huge challenge ...
research
∙
11/11/2018
A Multi-modal Deep Neural Network approach to Bird-song identification
We present a multi-modal Deep Neural Network (DNN) approach for bird son...
research
∙
11/11/2018
Multi-Temporal Resolution Convolutional Neural Networks for Acoustic Scene Classification
In this paper we present a Deep Neural Network architecture for the task...
research
∙
11/11/2018