activity
20152026
most citedExtraction and Analysis of Fictional Character Networks: A Survey

104 citations · 177 across the 15 of their papers we have counts for

collaborators

15 papers

cs.CL2026

Overcoming Copyright Barriers in Corpus Distribution Through Non-Reversible Hashing

Arthur Amalvy, Vincent Labatut, Xavier Bost +1

While annotated corpora are crucial in the field of natural language processing (NLP), those containing copyrighted material are difficult to exchange among researchers. Yet, such…

cs.LG2021

Improved optimization strategies for deep Multi-Task Networks

Lucas Pascal, Pietro Michiardi, Xavier Bost +2

In Multi-Task Learning (MTL), it is a common practice to train multi-task networks by optimizing an objective function, which is a weighted average of the task-specific objective f…

cs.CV2020

Maximum Roaming Multi-Task Learning

Lucas Pascal, Pietro Michiardi, Xavier Bost +2

Multi-task learning has gained popularity due to the advantages it provides with respect to resource usage and performance. Nonetheless, the joint optimization of parameters with r…

cs.IR2020★ 2 cited

Serial Speakers: a Dataset of TV Series

Xavier Bost, Vincent Labatut, Georges Linares

For over a decade, TV series have been drawing increasing interest, both from the audience and from various academic fields. But while most viewers are hooked on the continuous plo…

cs.CV2019

Semantic and Visual Similarities for Efficient Knowledge Transfer in CNN Training

Lucas Pascal, Xavier Bost, Benoît Huet

In recent years, representation learning approaches have disrupted many multimedia computing tasks. Among those approaches, deep convolutional neural networks (CNNs) have notably r…

cs.MM2019★ 24 cited

Remembering Winter Was Coming: Character-Oriented Video Summaries of TV Series

Xavier Bost, Serigne Gueye, Vincent Labatut +4

Today's popular TV series tend to develop continuous, complex plots spanning several seasons, but are often viewed in controlled and discontinuous conditions. Consequently, most vi…