44 citations · 89 across the 35 of their papers we have counts for
5 papers · 1 filter
Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision
Sanjeel Parekh, Alexey Ozerov, Slim Essid +3
We tackle the problem of audiovisual scene analysis for weakly-labeled data. To this end, we build upon our previous audiovisual representation learning framework to perform object…
EEG-based Inter-Subject Correlation Schemes in a Stimuli-Shared Framework: Interplay with Valence and Arousal
Ayoub Hajlaoui, Mohamed Chetouani, Slim Essid
Affective computing is confronted to high inter-subject variability, in both emotional and physiological responses to a given stimulus. In a stimuli-shared framework, that is to sa…
Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields
Valentin Barriere, Chloé Clavel, Slim Essid
In this paper, the main goal is to detect a movie reviewer's opinion using hidden conditional random fields. This model allows us to capture the dynamics of the reviewer's opinion…
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events
Sanjeel Parekh, Slim Essid, Alexey Ozerov +3
Audio-visual representation learning is an important task from the perspective of designing machines with the ability to understand complex events. To this end, we propose a novel…
Structured Output Learning with Abstention: Application to Accurate Opinion Prediction
Alexandre Garcia, Slim Essid, Chloé Clavel +1
Motivated by Supervised Opinion Analysis, we propose a novel framework devoted to Structured Output Learning with Abstention (SOLA). The structure prediction model is able to absta…