1 code implementation • 24 Jan 2024 • Dat Nguyen, Nesryne Mejri, Inder Pal Singh, Polina Kuleshova, Marcella Astrid, Anis Kacem, Enjie Ghorbel, Djamila Aouada
Second, an Enhanced Feature Pyramid Network (E-FPN) is proposed as a simple and effective mechanism for spreading discriminative low-level features into the final feature output, with the advantage of limiting redundancy.
1 code implementation • ICASSP 2023 • Nesryne Mejri, Enjie Ghorbel, Djamila Aouada
This paper introduces a novel framework for unsupervised type-agnostic deepfake detection called UNTAG.
1 code implementation • 22 May 2023 • Ashish Sinha, Jeremy Kawahara, Arezou Pakzad, Kumar Abhishek, Matthieu Ruthven, Enjie Ghorbel, Anis Kacem, Djamila Aouada, Ghassan Hamarneh
In recent years, deep learning (DL) has shown great potential in the field of dermatological image analysis.
no code implementations • 25 Jan 2023 • Indel Pal Singh, Enjie Ghorbel, Anis Kacem, Arunkumar Rathinam, Djamila Aouada
In this paper, a discriminator-free adversarial-based Unsupervised Domain Adaptation (UDA) for Multi-Label Image Classification (MLIC) referred to as DDA-MLIC is proposed.
Multi-Label Image Classification Unsupervised Domain Adaptation
no code implementations • 11 Jan 2023 • Indel Pal Singh, Enjie Ghorbel, Oyebade Oyedotun, Djamila Aouada
This paper proposes an adaptive graph-based approach for multi-label image classification.
no code implementations • 6 Dec 2022 • Nesryne Mejri, Laura Lopez-Fuentes, Kankana Roy, Pavel Chernakov, Enjie Ghorbel, Djamila Aouada
Notwithstanding the relevance of this topic in numerous application fields, a complete and extensive evaluation of recent state-of-the-art techniques is still missing.
no code implementations • ICIP 2022 • Inder Pal Singh, Enjie Ghorbel, Oyebade Oyedotun, Djamila Aouada
In this paper, a novel graph-based approach for multi-label image classification called Multi-Label Adaptive Graph Convolutional Network (ML-AGCN) is introduced.
Ranked #1 on Multi-Label Image Classification on MSCOCO (mean average precision metric)
no code implementations • 19 Apr 2021 • Albert Garcia, Mohamed Adel Musallam, Vincent Gaudilliere, Enjie Ghorbel, Kassem Al Ismaeil, Marcos Perez, Djamila Aouada
Being capable of estimating the pose of uncooperative objects in space has been proposed as a key asset for enabling safe close-proximity operations such as space rendezvous, in-orbit servicing and active debris removal.
no code implementations • 20 Dec 2019 • Konstantinos Papadopoulos, Enjie Ghorbel, Djamila Aouada, Björn Ottersten
This paper extends the Spatial-Temporal Graph Convolutional Network (ST-GCN) for skeleton-based action recognition by introducing two novel modules, namely, the Graph Vertex Feature Encoder (GVFE) and the Dilated Hierarchical Temporal Convolutional Network (DH-TCN).
Ranked #14 on Action Recognition on NTU RGB+D 120
no code implementations • 10 Apr 2019 • Konstantinos Papadopoulos, Girum Demisse, Enjie Ghorbel, Michel Antunes, Djamila Aouada, Björn Ottersten
The Dense Trajectories concept is one of the most successful approaches in action recognition, suitable for scenarios involving a significant amount of motion.