activity
20192026
most citedVertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition

21 citations · 25 across the 12 of their papers we have counts for

collaborators

19 papers

cs.CV2026

When AUC Misleads: Polarization-Aware Evaluation of Deepfake Detectors under Domain Shift

Dat Nguyen, Cosmin Radoi, Romain Hermary +4

Recent advances in generative AI, such as diffusion models and face-swapping tools, have enabled the creation of highly realistic deepfakes, leading to real-world harms including f…

cs.CV2026

LAA-X: Unified Localized Artifact Attention for Quality-Agnostic and Generalizable Face Forgery Detection

Dat Nguyen, Enjie Ghorbel, Anis Kacem +2

In this paper, we propose Localized Artifact Attention X (LAA-X), a novel deepfake detection framework that is both robust to high-quality forgeries and capable of generalizing to…

cs.CV2026

Cov2Pose: Leveraging Spatial Covariance for Direct Manifold-aware 6-DoF Object Pose Estimation

Nassim Ali Ousalah, Peyman Rostami, Vincent Gaudillière +4

In this paper, we address the problem of 6-DoF object pose estimation from a single RGB image. Indirect methods that typically predict intermediate 2D keypoints, followed by a Pers…

cs.CV2025

FPG-NAS: FLOPs-Aware Gated Differentiable Neural Architecture Search for Efficient 6DoF Pose Estimation

Nassim Ali Ousalah, Peyman Rostami, Anis Kacem +3

We introduce FPG-NAS, a FLOPs-aware Gated Differentiable Neural Architecture Search framework for efficient 6DoF object pose estimation. Estimating 3D rotation and translation from…

cs.CV20251 cited

Domain Adaptation for Multi-label Image Classification: a Discriminator-free Approach

Inder Pal Singh, Enjie Ghorbel, Anis Kacem +1

This paper introduces a discriminator-free adversarial-based approach termed DDA-MLIC for Unsupervised Domain Adaptation (UDA) in the context of Multi-Label Image Classification (M…

cs.CV20252 cited

Uncertainty-Aware Knowledge Distillation for Compact and Efficient 6DoF Pose Estimation

Nassim Ali Ousalah, Anis Kacem, Enjie Ghorbel +2

Compact and efficient 6DoF object pose estimation is crucial in applications such as robotics, augmented reality, and space autonomous navigation systems, where lightweight models…