We stand with Ukraine

We stand with Ukraine

Hajer Fradi

Orcid: 0000-0002-1482-7442

According to our database¹, Hajer Fradi authored at least 27 papers between 2011 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2023

Corrigendum to "Improved domain adaptive object detector via adversarial feature learning" [Comput. Vis. Image Underst. 230 (2023) 103660].

[BibT_eX]

[DOI]

Mohamed Amine Marnissi

,

,

,

Najoua Essoukri Ben Amara

Comput. Vis. Image Underst., December, 2023

Improved domain adaptive object detector via adversarial feature learning.

[BibT_eX]

[DOI]

Mohamed Amine Marnissi

,

,

,

Najoua Essoukri Ben Amara

Comput. Vis. Image Underst., April, 2023

Feature distribution alignments for object detection in the thermal domain.

[BibT_eX]

[DOI]

Mohamed Amine Marnissi

,

,

,

Najoua Essoukri Ben Amara

Vis. Comput., March, 2023

2022

Unsupervised thermal-to-visible domain adaptation method for pedestrian detection.

[BibT_eX]

[DOI]

Mohamed Amine Marnissi

,

,

,

Najoua Essoukri Ben Amara

Pattern Recognit. Lett., 2022

Bispectral Pedestrian Detection Augmented with Saliency Maps using Transformer.

[BibT_eX]

[DOI]

Mohamed Amine Marnissi

,

,

,

,

Najoua Essoukri Ben Amara

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Beyond the Visible Spectrum: Is Person Identity Well Preserved in Thermal Cameras?

[BibT_eX]

[DOI]

,

,

,

Mohamed Amine Marnissi

Proceedings of the Computational Collective Intelligence - 14th International Conference, 2022

Vision Transformers for Road Accident Detection from Dashboard Cameras.

[BibT_eX]

[DOI]

,

Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

2021

Multi-layer Feature Fusion and Selection from Convolutional Neural Networks for Texture Classification.

[BibT_eX]

[DOI]

,

,

Jean-Luc Dugelay

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

2020

Thermal Image Enhancement using Generative Adversarial Network for Pedestrian Detection.

[BibT_eX]

[DOI]

Mohamed Amine Marnissi

,

,

,

Najoua Essoukri Ben Amara

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

On the Discriminative Power of Learned vs. Hand-Crafted Features for Crowd Density Analysis.

[BibT_eX]

[DOI]

Mohamed Amine Marnissi

,

,

Jean-Luc Dugelay

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Autonomous Person Detection and Tracking Framework Using Unmanned Aerial Vehicles (UAVs).

[BibT_eX]

[DOI]

,

,

,

Jean-Luc Dugelay

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Crowd Behavior Analysis Using Local Mid-Level Visual Descriptors.

[BibT_eX]

[DOI]

,

Bertrand Luvison

,

Quoc Cuong Pham

IEEE Trans. Circuits Syst. Video Technol., 2017

2016

Spatial and temporal variations of feature tracks for crowd behavior analysis.

[BibT_eX]

[DOI]

,

Jean-Luc Dugelay

J. Multimodal User Interfaces, 2016

2015

Spatio-temporal crowd density model in a human detection and tracking framework.

[BibT_eX]

[DOI]

,

Volker Eiselein

,

Jean-Luc Dugelay

,

,

Signal Process. Image Commun., 2015

Towards crowd density-aware video surveillance applications.

[BibT_eX]

[DOI]

,

Jean-Luc Dugelay

Inf. Fusion, 2015

2014

New insights into crowd density analysis in video surveillance systems. (Nouvelles méthodes pour l'étude de la densité des foules en vidéo surveillance).

[BibT_eX]

[DOI]

PhD thesis, 2014

Privacy Protection Filter Using Shape and Color Cues.

[BibT_eX]

[DOI]

,

,

Jean-Luc Dugelay

Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014

Sparse Feature Tracking for Crowd Change Detection and Event Recognition.

[BibT_eX]

[DOI]

,

Jean-Luc Dugelay

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Crowd density map estimation based on feature tracks.

[BibT_eX]

[DOI]

,

Jean-Luc Dugelay

Proceedings of the 15th IEEE International Workshop on Multimedia Signal Processing, 2013

Contextualized Privacy Filters in Video Surveillance Using Crowd Density Maps.

[BibT_eX]

[DOI]

,

,

Jean-Luc Dugelay

Proceedings of the 2013 IEEE International Symposium on Multimedia, 2013

Crowd density analysis using subspace learning on local binary pattern.

[BibT_eX]

[DOI]

,

,

Jean-Luc Dugelay

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

A new multiclass SVM algorithm and its application to crowd density analysis using LBP features.

[BibT_eX]

[DOI]

,

Jean-Luc Dugelay

Proceedings of the IEEE International Conference on Image Processing, 2013

Crowd context-dependent privacy protection filters.

[BibT_eX]

[DOI]

,

Volker Eiselein

,

,

Jean-Luc Dugelay

,

Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Enhancing human detection using crowd density measures and an adaptive correction filter.

[BibT_eX]

[DOI]

Volker Eiselein

,

,

,

,

Jean-Luc Dugelay

Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013

2012

Low level crowd analysis using frame-wise normalized feature for people counting.

[BibT_eX]

[DOI]

,

Jean-Luc Dugelay

Proceedings of the 2012 IEEE International Workshop on Information Forensics and Security, 2012

People counting system in crowded scenes based on feature regression.

[BibT_eX]

[DOI]

,

Jean-Luc Dugelay

Proceedings of the 20th European Signal Processing Conference, 2012

2011

Improved depth map estimation in stereo vision.

[BibT_eX]

[DOI]

,

Jean-Luc Dugelay

Proceedings of the Stereoscopic Displays and Applications XXII, 2011

Loading...