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20192026
most citedUnsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

216 citations · 218 across the 2 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

A Hybrid CNN--State-Space--Attention Backbone with Joint-Embedding Predictive Pretraining for 12-Lead ECG Classification

Yakoub Bazi, Sarah Aljuhani, Mohamad M. Al Rahhal +2

Automatic 12-lead electrocardiogram (ECG) classification requires representations that jointly capture local waveform morphology, long-range temporal dynamics, and cross-lead depen…

cs.CV2026

Selective Tool Use for Agentic Change Visual Question Answering in Remote Sensing

Yakoub Bazi, Mohamad M. Al Rahhal, Mohamed A. Mekhtiche +1

Change visual question answering (Change VQA) requires understanding semantic changes across bi-temporal remote sensing images. Although vision language models (VLMs) have shown pr…

cs.CV2026

Semi-Supervised Adaptation of Vision-Language Models for Image Classification

Mohamed L. Mekhalfi, Mohamad M. Al Rahhal, Yakoub Bazi +4

Vision-language models like CLIP have shown sig- nificant potential in handling natural images, yet their perfor- mance is often limited by the distinct characteristics of satellit…

cs.CV2026

Revisiting Change VQA in Remote Sensing with Structured and Native Multimodal Qwen Models

Yakoub Bazi, Mohamad M. Al Rahhal, Mansour Zuair +1

Change visual question answering (Change VQA) addresses the problem of answering natural-language questions about semantic changes between bi-temporal remote sensing (RS) images. A…

cs.CV2019★ 216 cited

Unsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

Bilel Benjdira, Yakoub Bazi, Anis Koubaa +1

Segmenting aerial images is being of great potential in surveillance and scene understanding of urban areas. It provides a mean for automatic reporting of the different events that…