activity
20232026
most citedInsights into Classifying and Mitigating LLMs' Hallucinations

8 citations · 9 across the 20 of their papers we have counts for

collaborators

23 papers

eess.IV2026

GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation

Mohammed Oussama Benyahia, Marouane Tliba, Mohamed Amine Kerkouri +10

Medical image segmentation remains difficult to scale because high-performing methods typically rely on dense expert annotations and task-specific training. We introduce GazeRefine…

cs.CV2026

CGS-SLAM: Collaborative Gaussian Splatting based SLAM for Multi-Agent Reconstruction

Jean-Daniel de Ambrogi, Aladine Chetouani, Vincent Nguyen +1

Recent advances in SLAM have leveraged 3DGS for photorealistic reconstruction and novel view synthesis. However, most methods rely on RGB-D input, which is unavailable on consumer-…

cs.CV2026

Matched Outcomes, Divergent Gaze: How Foveated MLLMs Search Compared to Humans

Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani +2

Human visual search is serial: the fovea must land on a candidate to confirm it, and those landings form a scanpath. Whether multimodal large language models (MLLMs), given the sam…

cs.CV2026

Divergent Gaze Patterns in Artistic Viewing: Spatial and Temporal Signatures of Attention Across Autistic Individuals, Artists, and Neurotypical Observers

Mohammed Amine Kerkouri, Daphné Senggaran, Renaud Jusiak +7

How different populations visually explore artworks bears on cognitive science and on accessibility design, yet most eye-tracking work in autism has used social scenes rather than…

cs.CV2026

CT-DegradBench: A Physics-Informed Benchmark for CT Degradation Detection and Severity Estimation

Yousra Nabila Taifour, Marouane Tliba, Zuheng Ming +9

Computed tomography (CT) images are frequently degraded by acquisition artifacts, including noise, blur, streaking, aliasing, and metal artifacts. Yet CT enhancement is still large…

cs.CV2026

GazeVaLM: A Multi-Observer Eye-Tracking Benchmark for Evaluating Clinical Realism in AI-Generated X-Rays

David Wong, Zeynep Isik, Bin Wang +22

We introduce GazeVaLM, a public eye-tracking dataset for studying clinical perception during chest radiograph authenticity assessment. The dataset comprises 960 gaze recordings fro…