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From the 1 of 13 linked papers with an AI index.

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13 papers

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

The paper compares how autistic adults, trained artists, and neurotypical observers view paintings, analyzing both where they look and the timing of their fixations using spatial s…

cs.CL2026

ThinkProbe: Beyond Accuracy -- Structural Profiling of Open-Ended LLM Reasoning Traces via Non-Generative Thought Graphs

Mohamed Amine Kerkouri, Simon D. Hernandez, Marouane Tliba +3

We present ThinkProbe, a framework for structural analysis of LLM reasoning traces. ThinkProbe converts each trace into a Thought Graph a directed graph with cycles, 8 node types,…

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…

cs.CV2026

Progressive Deep Learning for Automated Spheno-Occipital Synchondrosis Maturation Assessment

Omid Halimi Milani, Amanda Nikho, Marouane Tliba +4

Accurate assessment of spheno-occipital synchondrosis (SOS) maturation is a key indicator of craniofacial growth and a critical determinant for orthodontic and surgical timing. How…

cs.CV2026

What They Saw, Not Just Where They Looked: Semantic Scanpath Similarity via VLMs and NLP metric

Mohamed Amine Kerkouri, Marouane Tliba, Bin Wang +3

Scanpath similarity metrics are central to eye-movement research, yet existing methods predominantly evaluate spatial and temporal alignment while neglecting semantic equivalence b…