research
∙
09/21/2021
Optimization Strategies in Multi-Task Learning: Averaged or Separated Losses?
In Multi-Task Learning (MTL), it is a common practice to train multi-tas...
share
research
∙
06/17/2020
Maximum Roaming Multi-Task Learning
Multi-task learning has gained popularity due to the advantages it provi...
research
∙
02/17/2020
Serial Speakers: a Dataset of TV Series
For over a decade, TV series have been drawing increasing interest, both...
research
∙
09/13/2019
Semantic and Visual Similarities for Efficient Knowledge Transfer in CNN Training
In recent years, representation learning approaches have disrupted many ...
research
∙
09/05/2019
Remembering Winter Was Coming: Character-Oriented Video Summaries of TV Series
Today's popular TV series tend to develop continuous, complex plots span...
research
∙
09/05/2019
Remembering winter was coming
Today's popular TV series tend to develop continuous, complex plots span...
research
∙
07/05/2019
Extraction and Analysis of Fictional Character Networks: A Survey
A character network is a graph extracted from a narrative, in which vert...
research
∙
04/13/2019
M2H-GAN: A GAN-based Mapping from Machine to Human Transcripts for Speech Understanding
Deep learning is at the core of recent spoken language understanding (SL...
research
∙
12/21/2018
Multiple topic identification in telephone conversations
This paper deals with the automatic analysis of conversations between a ...
research
∙
12/18/2018
Constrained speaker diarization of TV series based on visual patterns
Speaker diarization, usually denoted as the 'who spoke when' task, turns...
research
∙
12/18/2018
Audiovisual speaker diarization of TV series
Speaker diarization may be difficult to achieve when applied to narrativ...
research
∙
12/18/2018
Détection de locuteurs dans les séries TV
Speaker diarization of audio streams turns out to be particularly challe...
research
∙
05/16/2018
Extraction and Analysis of Dynamic Conversational Networks from TV Series
Identifying and characterizing the dynamics of modern tv series subplots...
research
∙
02/21/2017
Systèmes du LIA à DEFT'13
The 2013 Défi de Fouille de Textes (DEFT) campaign is interested in two ...
research
∙
02/25/2016
Narrative Smoothing: Dynamic Conversational Network for the Analysis of TV Series Plots
-Modern popular TV series often develop complex storylines spanning seve...
research
∙
10/26/2015
