Search Results for author: Lucas Ventura

Found 4 papers, 2 papers with code

Learning text-to-video retrieval from image captioning

no code implementations26 Apr 2024 Lucas Ventura, Cordelia Schmid, Gül Varol

In this paper, we make use of this progress and instantiate the image experts from two types of models: a text-to-image retrieval model to provide an initial backbone, and image captioning models to provide supervision signal into unlabeled videos.

CoVR: Learning Composed Video Retrieval from Web Video Captions

1 code implementation28 Aug 2023 Lucas Ventura, Antoine Yang, Cordelia Schmid, Gül Varol

Most CoIR approaches require manually annotated datasets, comprising image-text-image triplets, where the text describes a modification from the query image to the target image.

Composed Video Retrieval (CoVR) Language Modelling +3

Can Everybody Sign Now? Exploring Sign Language Video Generation from 2D Poses

no code implementations20 Dec 2020 Lucas Ventura, Amanda Duarte, Xavier Giro-i-Nieto

Recent work have addressed the generation of human poses represented by 2D/3D coordinates of human joints for sign language.

Sign Language Production Video Generation

How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language

1 code implementation CVPR 2021 Amanda Duarte, Shruti Palaskar, Lucas Ventura, Deepti Ghadiyaram, Kenneth DeHaan, Florian Metze, Jordi Torres, Xavier Giro-i-Nieto

Towards this end, we introduce How2Sign, a multimodal and multiview continuous American Sign Language (ASL) dataset, consisting of a parallel corpus of more than 80 hours of sign language videos and a set of corresponding modalities including speech, English transcripts, and depth.

Sign Language Production Sign Language Translation +1

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