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Abdallah Benzine
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2020 – today
- 2022
- [j2]Sabrina Narimene Benassou, Wuzhen Shi
, Feng Jiang, Abdallah Benzine
:
Hierarchical complementary learning for weakly supervised object localization. Signal Process. Image Commun. 100: 116520 (2022) - 2021
- [j1]Abdallah Benzine, Bertrand Luvison, Quoc Cuong Pham, Catherine Achard
:
Single-shot 3D multi-person pose estimation in complex images. Pattern Recognit. 112: 107534 (2021) - [i4]Abdallah Benzine, Florian Chabot, Bertrand Luvison, Quoc Cong Pham, Cahterine Achrd:
PandaNet : Anchor-Based Single-Shot Multi-Person 3D Pose Estimation. CoRR abs/2101.02471 (2021) - [i3]Abdallah Benzine, Mohamed El Amine Seddik, Julien Desmarais:
Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification. CoRR abs/2102.09321 (2021) - 2020
- [b1]Abdallah Benzine:
Estimation de poses 3D multi-personnes à partir d'images RGB. (Multi-person 3D pose estimation from RGB images). Sorbonne University, France, 2020 - [c4]Abdallah Benzine, Florian Chabot, Bertrand Luvison, Quoc Cuong Pham, Catherine Achard
:
PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation. CVPR 2020: 6855-6864 - [c3]Mohamed El Amine Seddik, Hassane Essafi, Abdallah Benzine, Mohamed Tamaazousti:
Lightweight Neural Networks From PCA & LDA Based Distilled Dense Neural Networks. ICIP 2020: 3060-3064 - [i2]Sabrina Narimene Benassou, Wuzhen Shi, Feng Jiang, Abdallah Benzine:
Hierarchical Complementary Learning for Weakly Supervised Object Localization. CoRR abs/2011.08014 (2020)
2010 – 2019
- 2019
- [c2]Abdallah Benzine, Bertrand Luvison, Quoc Cuong Pham, Catherine Achard
:
Deep, Robust and Single Shot 3D Multi-Person Human Pose Estimation from Monocular Images. ICIP 2019: 584-588 - [i1]Abdallah Benzine, Bertrand Luvison, Quoc Cuong Pham, Catherine Achard:
Deep, robust and single shot 3D multi-person human pose estimation in complex images. CoRR abs/1911.03391 (2019) - 2016
- [c1]Samia Beldjoudi, Hassina Seridi, Abdallah Benzine:
Améliorer la Recommandation de Ressources dans les Folksonomies par l'Utilisation de Linked Open Data. IC 2016: 193-204
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