activity
20162026
most citedIntegrating ConvNeXt and Vision Transformers for Enhancing Facial Age Estimation

7 citations · 14 across the 17 of their papers we have counts for

collaborators

18 papers

cs.CL2026

Halluscoring 2026: The first shared task on llms hallucination detection and answer verification

Aisha Alansari, Abdessalam Bouchekif, Ahmed Hasanaath +9

We present HalluScoring 2026, a shared task for evaluating hallucination detection and factual verification in Arabic question answering under challenging generalization settings.…

cs.CL2026

HalluTruthQA-4K: A Fine-Grained Corpus and Annotation Process for Arabic Hallucination Detection and Truth Verification

Salah Eddine Bekhouche, Abdessalam Bouchekif, Hichem Telli +2

Large language models can generate fluent Arabic answers while introducing factual errors that are difficult to identify and verify. Existing Arabic hallucination resources often a…

cs.CL2026

HalluTruthQA: A Fine-Grained Benchmark for Hallucination Detection, Localization, and Explanation in Arabic Question Answering

Abdessalam Bouchekif, Mohammed-En-Nadhir Zighem, Salah Eddine Bekhouche +9

Large language models (LLMs) can generate fluent Arabic answers, yet factual errors remain difficult to detect, localize, explain, and verify. Existing hallucination benchmarks oft…

cs.CV2026

AffectFlow-DINO: Uncertainty-Aware Multi-Task Affect Estimation via Conditional Rectified Flow

Salah Eddine Bekhouche, Abdellah Zakaria Sellam, Fadi Dornaika +1

We present \textbf{AffectFlow-DINO}, a multi-task learning system for the 11th ABAW challenge that extends a standard deterministic architecture with a conditional rectified-flow h…

eess.IV2026

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring

Fadi Abdeladhim Zidi, Salah Eddine Bekhouche, Abdellah Zakaria Sellam +3

Accurate quantification of lung disease severity from chest imaging is critical for clinical decision-making and resource allocation. We propose a tri-modal deep learning framework…

cs.CV2026

RF-HiT: Rectified Flow Hierarchical Transformer for General Medical Image Segmentation

Ahmed Marouane Djouamaa, Abir Belaala, Abdellah Zakaria Sellam +3

Accurate medical image segmentation requires both long-range contextual reasoning and precise boundary delineation, a task where existing transformer- and diffusion-based paradigms…

cs.CL2026

CVPD at QIAS 2026: RAG-Guided LLM Reasoning for Al-Mawarith Share Computation and Heir Allocation

Wassim Swaileh, Mohammed-En-Nadhir Zighem, Hichem Telli +4

Islamic inheritance (Ilm al-Mawarith) is a multi-stage legal reasoning task requiring the identification of eligible heirs, resolution of blocking rules (hajb), assignment of fixed…

cs.CV2026

Conflict-Aware Multimodal Fusion for Ambivalence and Hesitancy Recognition

Salah Eddine Bekhouche, Hichem Telli, Azeddine Benlamoudi +3

Ambivalence and hesitancy (A/H) are subtle affective states where a person shows conflicting signals through different channels -- saying one thing while their face or voice tells…

cs.CV2026

VP-Hype: A Hybrid Mamba-Transformer Framework with Visual-Textual Prompting for Hyperspectral Image Classification

Abdellah Zakaria Sellam, Fadi Abdeladhim Zidi, Salah Eddine Bekhouche +4

Accurate classification of hyperspectral imagery (HSI) is often frustrated by the tension between high-dimensional spectral data and the extreme scarcity of labeled training sample…

cs.CV2025

VLM-PAR: A Vision Language Model for Pedestrian Attribute Recognition

Abdellah Zakaria Sellam, Salah Eddine Bekhouche, Fadi Dornaika +2

Pedestrian Attribute Recognition (PAR) involves predicting fine-grained attributes such as clothing color, gender, and accessories from pedestrian imagery, yet is hindered by sever…

cs.CV2025★ 7 cited

Integrating ConvNeXt and Vision Transformers for Enhancing Facial Age Estimation

Gaby Maroun, Salah Eddine Bekhouche, Fadi Dornaika

Age estimation from facial images is a complex and multifaceted challenge in computer vision. In this study, we present a novel hybrid architecture that combines ConvNeXt, a state-…

cs.CV2025

C-DiffDet+: Fusing Global Scene Context with Generative Denoising for High-Fidelity Car Damage Detection

Abdellah Zakaria Sellam, Ilyes Benaissa, Salah Eddine Bekhouche +3

Fine-grained object detection in challenging visual domains, such as vehicle damage assessment, presents a formidable challenge even for human experts to resolve reliably. While Di…

cs.CL2025

CVPD at QIAS 2025 Shared Task: An Efficient Encoder-Based Approach for Islamic Inheritance Reasoning

Salah Eddine Bekhouche, Abdellah Zakaria Sellam, Hichem Telli +2

Islamic inheritance law (Ilm al-Mawarith) requires precise identification of heirs and calculation of shares, which poses a challenge for AI. In this paper, we present a lightweigh…

cs.CV2025

Beyond Linear Bottlenecks: Spline-Based Knowledge Distillation for Culturally Diverse Art Style Classification

Abdellah Zakaria Sellam, Salah Eddine Bekhouche, Cosimo Distante +1

Art style classification remains a formidable challenge in computational aesthetics due to the scarcity of expertly labeled datasets and the intricate, often nonlinear interplay of…

cs.CL2025

Enhanced Arabic Text Retrieval with Attentive Relevance Scoring

Salah Eddine Bekhouche, Azeddine Benlamoudi, Yazid Bounab +2

Arabic poses a particular challenge for natural language processing (NLP) and information retrieval (IR) due to its complex morphology, optional diacritics and the coexistence of M…

cs.CV2025

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging

Salah Eddine Bekhouche, Gaby Maroun, Fadi Dornaika +1

Medical image segmentation is crucial for many healthcare tasks, including disease diagnosis and treatment planning. One key area is the segmentation of skin lesions, which is vita…

cs.CV2025★ 4 cited

LoLA-SpecViT: Local Attention SwiGLU Vision Transformer with LoRA for Hyperspectral Imaging

Fadi Abdeladhim Zidi, Djamel Eddine Boukhari, Abdellah Zakaria Sellam +4

Hyperspectral image classification remains a challenging task due to the high dimensionality of spectral data, significant inter-band redundancy, and the limited availability of an…

cs.CV2016★ 3 cited

Facial age estimation using BSIF and LBP

Salah Eddine Bekhouche, Abdelkrim Ouafi, Abdelmalik Taleb-Ahmed +2

Human face aging is irreversible process causing changes in human face characteristics such us hair whitening, muscles drop and wrinkles. Due to the importance of human face aging…