ArXiv TLDR

Lorenzo Vaquero

2 papers · Latest:

Computer Vision

Training-Free Semantic Multi-Object Tracking with Vision-Language Models

TF-SMOT introduces a training-free semantic multi-object tracking pipeline using pre-trained vision-language models for improved video summaries and captions.

2604.14074
Computer Vision

Towards Unconstrained Human-Object Interaction

This paper introduces Unconstrained Human-Object Interaction (U-HOI), leveraging MLLMs to detect interactions without predefined vocabularies.

2604.14069

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