Mattia soldan

OpenTAD: A Unified Framework and Comprehensive Study of Temporal Action Detection featured image
Deep Learning

OpenTAD: A Unified Framework and Comprehensive Study of Temporal Action Detection

Temporal action detection (TAD) is a fundamental video understanding task that aims to identify human actions and localize their temporal boundaries in videos. Although this field …

Shuming liu
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Towards Automated Movie Trailer Generation featured image
Deep Learning

Towards Automated Movie Trailer Generation

Movie trailers are an essential tool for promoting films and attracting audiences. However the process of creating trailers can be time-consuming and expensive. To streamline this …

Dawit mureja argaw
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MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions featured image

MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions

The recent and increasing interest in video-language research has driven the development of large-scale datasets that enable data-intensive machine learning techniques. In …

Mattia soldan
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