5 papers
Forged Calamity: Benchmark for Cross-Domain Synthetic Disaster Detection in the Age of Diffusion
Duc-Manh Phan, Quoc-Duy Tran, Duy-Khang Do +9
The rapid advancement of text-to-image diffusion models has enabled the creation of highly photorealistic synthetic images that closely resemble real photographs, making it increas…
Toward Content-based Indexing and Retrieval of Head and Neck CT with Abscess Segmentation
Thao Thi Phuong Dao, Tan-Cong Nguyen, Trong-Le Do +13
Abscesses in the head and neck represent an acute infectious process that can potentially lead to sepsis or mortality if not diagnosed and managed promptly. Accurate detection and…
MasHeNe: A Benchmark for Head and Neck CT Mass Segmentation using Window-Enhanced Mamba with Frequency-Domain Integration
Thao Thi Phuong Dao, Tan-Cong Nguyen, Nguyen Chi Thanh +7
Head and neck masses are space-occupying lesions that can compress the airway and esophagus and may affect nerves and blood vessels. Available public datasets primarily focus on ma…
Event-Enriched Image Analysis Grand Challenge at ACM Multimedia 2025
Thien-Phuc Tran, Minh-Quang Nguyen, Minh-Triet Tran +7
The Event-Enriched Image Analysis (EVENTA) Grand Challenge, hosted at ACM Multimedia 2025, introduces the first large-scale benchmark for event-level multimodal understanding. Trad…
ACM Multimedia Grand Challenge on ENT Endoscopy Analysis
Trong-Thuan Nguyen, Viet-Tham Huynh, Thao Thi Phuong Dao +6
Automated analysis of endoscopic imagery is a critical yet underdeveloped component of ENT (ear, nose, and throat) care, hindered by variability in devices and operators, subtle an…