Enjie Ghorbel

Orcid: 0000-0002-6878-0141

According to our database1, Enjie Ghorbel authored at least 26 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
LAA-Net: Localized Artifact Attention Network for High-Quality Deepfakes Detection.
CoRR, 2024

Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images.
CoRR, 2023

Multi-label Image Classification using Adaptive Graph Convolutional Networks: from a Single Domain to Multiple Domains.
CoRR, 2023

You Can Dance! Generating Music-Conditioned Dances on Real 3D Scans.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Multi-Label Deepfake Classification.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

UNTAG: Learning Generic Features for Unsupervised Type-Agnostic Deepfake Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Unsupervised Anomaly Detection in Time-series: An Extensive Evaluation and Analysis of State-of-the-art Methods.
CoRR, 2022

Multi Label Image Classification using Adaptive Graph Convolutional Networks (ML-AGCN).
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
LSPnet: A 2D Localization-Oriented Spacecraft Pose Estimation Neural Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Fast Adaptive Reparametrization (FAR) With Application to Human Action Recognition.
IEEE Signal Process. Lett., 2020

Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatio-Temporal Graph Convolutional Network for Action Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

DeepVI: A Novel Framework for Learning Deep View-Invariant Human Action Representations using a Single RGB Camera.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

2019
Localized Trajectories for 2D and 3D Action Recognition.
Sensors, 2019

Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition.
CoRR, 2019

Home self-training: Visual feedback for assisting physical activity for stroke survivors.
Comput. Methods Programs Biomed., 2019

A View-invariant Framework for Fast Skeleton-based Action Recognition using a Single RGB Camera.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

View-invariant Action Recognition from RGB Data via 3D Pose Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Two-Stage RGB-Based Action Detection Using Augmented 3D Poses.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2018
Features and Classification Schemes for View-Invariant and Real-Time Human Action Recognition.
IEEE Trans. Cogn. Dev. Syst., 2018

Kinematic Spline Curves: A temporal invariant descriptor for fast action recognition.
Image Vis. Comput., 2018

An extension of kernel learning methods using a modified Log-Euclidean distance for fast and accurate skeleton-based Human Action Recognition.
Comput. Vis. Image Underst., 2018

2017
Fast and accurate human action recognition using RGB-D cameras. (Reconnaissance rapide et précise d'actions humaines à partir de caméras RGB-D).
PhD thesis, 2017

2016
Toward a Real Time View-invariant 3D Action Recognition.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

A fast and accurate motion descriptor for human action recognition applications.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
3D real-time human action recognition using a spline interpolation approach.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015


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