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cs.CV2026
Seizure-Semiology-Suite (S3): A Clinically Multimodal Dataset, Benchmark, and Models for Seizure Semiology Understanding
Lina Zhang, Tonmoy Monsoor, Peizheng Li +23
While Multimodal Large Language Models (MLLMs) have demonstrated remarkable proficiency in general video understanding, their capacity to interpret involuntary, and spatio-temporal…
cs.CV2026
Can Multimodal Large Language Models Understand Pathologic Movements? A Pilot Study on Seizure Semiology
Lina Zhang, Tonmoy Monsoor, Mehmet Efe Lorasdagi +8
Multimodal Large Language Models (MLLMs) have demonstrated robust capabilities in recognizing everyday human activities, yet their potential for analyzing clinically significant in…
cs.CV2025
OregairuChar: A Benchmark Dataset for Character Appearance Frequency Analysis in My Teen Romantic Comedy SNAFU
Qi Sun, Dingju Zhou, Lina Zhang
The analysis of character appearance frequency is essential for understanding narrative structure, character prominence, and story progression in anime. In this work, we introduce…