Add to ORKGInternational audienceThis paper presents a collaborative annotation framework for person identification in TV shows. The web annotation front-end will be demonstrated during the Show and Tell session. All the code for annotation is made available on github. The tool can also be used in a crowd-sourcing environment
The enormous amount of visual data generated nowadays creates a strong need for annotation tools to ...
International audienceIn this paper an approach minimizing the human involvement in the manual annot...
The automatic recognition and retrieval of faces can be a useful tool for exploiting and promoting l...
International audienceIn this paper an approach to human annotation propagation for person identific...
In this paper, we describe the organization and the implementation of the CAMOMILE collaborative an...
International audienceIn this paper, we describe the organization and the implementation of the CAMO...
International audienceIn this paper, we present an approach for minimizing human effort in manual sp...
The purpose of this project is to focus in exploring deep learning methods for multimodal person rec...
International audience—We address the task of identifying people appearing in TV shows. The target p...
In the recent years, the demand for video tools to automatically annotate and classify large audiovi...
In this thesis we propose several methods for unsupervised person identification in TV broadcast usi...
International audienceWhen annotating complex multimedia data like videos, a human expert usually an...
Poster session: WS21 - Workshop on Information Fusion in Computer Vision for Concept RecognitionInte...
International audienceThis paper describes a multi-modal person recognition system for video broadca...
Ce travail de thèse a pour objectif de proposer plusieurs méthodes d'identification non-supervisées ...
The enormous amount of visual data generated nowadays creates a strong need for annotation tools to ...
International audienceIn this paper an approach minimizing the human involvement in the manual annot...
The automatic recognition and retrieval of faces can be a useful tool for exploiting and promoting l...
International audienceIn this paper an approach to human annotation propagation for person identific...
In this paper, we describe the organization and the implementation of the CAMOMILE collaborative an...
International audienceIn this paper, we describe the organization and the implementation of the CAMO...
International audienceIn this paper, we present an approach for minimizing human effort in manual sp...
The purpose of this project is to focus in exploring deep learning methods for multimodal person rec...
International audience—We address the task of identifying people appearing in TV shows. The target p...
In the recent years, the demand for video tools to automatically annotate and classify large audiovi...
In this thesis we propose several methods for unsupervised person identification in TV broadcast usi...
International audienceWhen annotating complex multimedia data like videos, a human expert usually an...
Poster session: WS21 - Workshop on Information Fusion in Computer Vision for Concept RecognitionInte...
International audienceThis paper describes a multi-modal person recognition system for video broadca...
Ce travail de thèse a pour objectif de proposer plusieurs méthodes d'identification non-supervisées ...
The enormous amount of visual data generated nowadays creates a strong need for annotation tools to ...
International audienceIn this paper an approach minimizing the human involvement in the manual annot...
The automatic recognition and retrieval of faces can be a useful tool for exploiting and promoting l...