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20192026
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cs.CV2026

CURE: Curriculum-guided Multi-task Training for Reliable Anatomy Grounded Report Generation

Pablo Messina, Andrés Villa, Juan León Alcázar +5

Medical vision-language models can automate the generation of radiology reports but struggle with accurate visual grounding and factual consistency. Existing models often misalign…

cs.CV2025

MoCA-Video: Motion-Aware Concept Alignment for Consistent Video Editing

Tong Zhang, Juan C Leon Alcazar, Victor Escorcia +1

Unlike traditional video editing or inpainting, video semantic mixing fuses a reference concept with a moving target entity to produce a hybrid while preserving the source video's…

cs.CV2022

End-to-End Active Speaker Detection

Juan Leon Alcazar, Moritz Cordes, Chen Zhao +1

Recent advances in the Active Speaker Detection (ASD) problem build upon a two-stage process: feature extraction and spatio-temporal context aggregation. In this paper, we propose…

cs.CV2021

APES: Audiovisual Person Search in Untrimmed Video

Juan Leon Alcazar, Long Mai, Federico Perazzi +4

Humans are arguably one of the most important subjects in video streams, many real-world applications such as video summarization or video editing workflows often require the autom…

cs.CV2020

Active Speakers in Context

Juan Leon Alcazar, Fabian Caba Heilbron, Long Mai +4

Current methods for active speak er detection focus on modeling short-term audiovisual information from a single speaker. Although this strategy can be enough for addressing single…

cs.CV2019

MAIN: Multi-Attention Instance Network for Video Segmentation

Juan Leon Alcazar, Maria A. Bravo, Ali K. Thabet +4

Instance-level video segmentation requires a solid integration of spatial and temporal information. However, current methods rely mostly on domain-specific information (online lear…