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Hajer Fradi
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2020 – today
- 2023
- [j8]Mohamed Amine Marnissi, Hajer Fradi, Anis Sahbani, Najoua Essoukri Ben Amara:
Improved domain adaptive object detector via adversarial feature learning. Comput. Vis. Image Underst. 230: 103660 (2023) - [j7]Mohamed Amine Marnissi, Hajer Fradi, Anis Sahbani, Najoua Essoukri Ben Amara:
Corrigendum to "Improved domain adaptive object detector via adversarial feature learning" [Comput. Vis. Image Underst. 230 (2023) 103660]. Comput. Vis. Image Underst. 237: 103685 (2023) - [j6]Mohamed Amine Marnissi, Hajer Fradi, Anis Sahbani, Najoua Essoukri Ben Amara:
Feature distribution alignments for object detection in the thermal domain. Vis. Comput. 39(3): 1081-1093 (2023) - 2022
- [j5]Mohamed Amine Marnissi, Hajer Fradi
, Anis Sahbani, Najoua Essoukri Ben Amara:
Unsupervised thermal-to-visible domain adaptation method for pedestrian detection. Pattern Recognit. Lett. 153: 222-231 (2022) - [c18]Feten Hajri, Hajer Fradi
Vision Transformers for Road Accident Detection from Dashboard Cameras. AVSS 2022: 1-8 - [c17]Afef Ben Said, Hajer Fradi
Beyond the Visible Spectrum: Is Person Identity Well Preserved in Thermal Cameras? ICCCI 2022: 491-503 - [c16]Mohamed Amine Marnissi, Ikram Hattab, Hajer Fradi
Bispectral Pedestrian Detection Augmented with Saliency Maps using Transformer. VISIGRAPP (5: VISAPP) 2022: 275-284 - 2021
- [c15]Hajer Fradi
Multi-layer Feature Fusion and Selection from Convolutional Neural Networks for Texture Classification. VISIGRAPP (4: VISAPP) 2021: 574-581 - 2020
- [c14]Mohamed Amine Marnissi, Hajer Fradi
Thermal Image Enhancement using Generative Adversarial Network for Pedestrian Detection. ICPR 2020: 6509-6516
2010 – 2019
- 2019
- [c13]Mohamed Amine Marnissi, Hajer Fradi
On the Discriminative Power of Learned vs. Hand-Crafted Features for Crowd Density Analysis. IJCNN 2019: 1-8 - 2018
- [c12]Hajer Fradi
Autonomous Person Detection and Tracking Framework Using Unmanned Aerial Vehicles (UAVs). EUSIPCO 2018: 1047-1051 - 2017
- [j4]Hajer Fradi
Crowd Behavior Analysis Using Local Mid-Level Visual Descriptors. IEEE Trans. Circuits Syst. Video Technol. 27(3): 589-602 (2017) - 2016
- [j3]Hajer Fradi
Spatial and temporal variations of feature tracks for crowd behavior analysis. J. Multimodal User Interfaces 10(4): 307-317 (2016) - 2015
- [j2]Hajer Fradi, Jean-Luc Dugelay
Towards crowd density-aware video surveillance applications. Inf. Fusion 24: 3-15 (2015) - [j1]Hajer Fradi
Spatio-temporal crowd density model in a human detection and tracking framework. Signal Process. Image Commun. 31: 100-111 (2015) - 2014
- [b1]Hajer Fradi:
New insights into crowd density analysis in video surveillance systems. (Nouvelles méthodes pour l'étude de la densité des foules en vidéo surveillance). Télécom ParisTech, France, 2014 - [c11]Hajer Fradi
Sparse Feature Tracking for Crowd Change Detection and Event Recognition. ICPR 2014: 4116-4121 - [c10]Hajer Fradi, Yiqing Yan, Jean-Luc Dugelay:
Privacy Protection Filter Using Shape and Color Cues. MediaEval 2014 - 2013
- [c9]Volker Eiselein, Hajer Fradi
Enhancing human detection using crowd density measures and an adaptive correction filter. AVSS 2013: 19-24 - [c8]Hajer Fradi
Crowd context-dependent privacy protection filters. DSP 2013: 1-6 - [c7]Hajer Fradi
A new multiclass SVM algorithm and its application to crowd density analysis using LBP features. ICIP 2013: 4554-4558 - [c6]Hajer Fradi
Crowd density analysis using subspace learning on local binary pattern. ICME Workshops 2013: 1-6 - [c5]Hajer Fradi
Contextualized Privacy Filters in Video Surveillance Using Crowd Density Maps. ISM 2013: 92-99 - [c4]Hajer Fradi
Crowd density map estimation based on feature tracks. MMSP 2013: 40-45 - 2012
- [c3]Hajer Fradi, Jean-Luc Dugelay:
People counting system in crowded scenes based on feature regression. EUSIPCO 2012: 136-140 - [c2]Hajer Fradi
Low level crowd analysis using frame-wise normalized feature for people counting. WIFS 2012: 246-251 - 2011
- [c1]Hajer Fradi, Jean-Luc Dugelay
Improved depth map estimation in stereo vision. SD&A 2011: 78631U
Coauthor Index
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