Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities
Emotion identification based on multimodal data (eg, audio, video, text, etc.) is one of the
most demanding and important research fields, with various uses. In this context, this …
most demanding and important research fields, with various uses. In this context, this …
[HTML][HTML] Deep Learning Innovations in Video Classification: A Survey on Techniques and Dataset Evaluations
Video classification has achieved remarkable success in recent years, driven by advanced
deep learning models that automatically categorize video content. This paper provides a …
deep learning models that automatically categorize video content. This paper provides a …
Multimodal emotion recognition with modality-pairwise unsupervised contrastive loss
Emotion recognition is involved in several real-world applications. With an increase in
available modalities, automatic understanding of emotions is being performed more …
available modalities, automatic understanding of emotions is being performed more …
A deep learning based non-intrusive household load identification for smart grid in China
Load identification have shown significant performance gains in Chinese smart grids. Most
existing load identification algorithms are based on electrical characteristics of a steady or …
existing load identification algorithms are based on electrical characteristics of a steady or …
Privacy-preserving video classification with convolutional neural networks
S Pentyala, R Dowsley… - … conference on machine …, 2021 - proceedings.mlr.press
Many video classification applications require access to personal data, thereby posing an
invasive security risk to the users' privacy. We propose a privacy-preserving implementation …
invasive security risk to the users' privacy. We propose a privacy-preserving implementation …
Emotion recognition from facial expressions for 3D videos using siamese network
D Lawrance, S Palaniswamy - 2021 international conference on …, 2021 - ieeexplore.ieee.org
In this work, we have proposed STLEV (Siamese Neural Network with Triplet Loss and Long
Short-Term Memory for Emotion recognition in Videos) a method for emotion recognition in …
Short-Term Memory for Emotion recognition in Videos) a method for emotion recognition in …
An automatic speech recognition system for isolated Amazigh word using 1D & 2D CNN-LSTM architecture
The availability of automatic speech recognition systems is crucial in various domains such
as communication, healthcare, security, education, etc. However, currently, the existing …
as communication, healthcare, security, education, etc. However, currently, the existing …
An Image Processing Study: Image Enhancement, Image Segmentation, and Image Classification using Milkfish Freshness Images
NRD Cahyo, MMI Al-Ghiffary - International Journal of …, 2024 - journals.arces.org
This Research uses sophisticated image processing techniques to handle the important
problem of assessing the freshness of milkfish. Researcher presenting a CNN classification …
problem of assessing the freshness of milkfish. Researcher presenting a CNN classification …
[HTML][HTML] Affordable Phenotyping at the Edge for High-Throughput Detection of Hypersensitive Reaction Involving Cotyledon Loss
The use of low-cost depth imaging sensors is investigated to automate plant pathology tests.
Spatial evolution is explored to discriminate plant resistance through the hypersensitive …
Spatial evolution is explored to discriminate plant resistance through the hypersensitive …
Perceptive SARS-CoV-2 end-to-end ultrasound video classification through X3D and key-frames selection
The SARS-CoV-2 pandemic challenged health systems worldwide, thus advocating for
practical, quick and highly trustworthy diagnostic instruments to help medical personnel. It …
practical, quick and highly trustworthy diagnostic instruments to help medical personnel. It …