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cs.CV2026

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

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

The paper introduces AffectFlow-DINO, a multi‑task system that adds a conditional rectified‑flow head to a frozen DINOv3 ViT backbone to generate uncertainty‑aware, one‑to‑many pre…

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.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

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-…