1 citations · 1 across the 1 of their papers we have counts for
5 papers
Learning Visual Voice Activity Detection with an Automatically Annotated Dataset
Sylvain Guy, Stéphane Lathuilière, Pablo Mesejo +1
Visual voice activity detection (V-VAD) uses visual features to predict whether a person is speaking or not. V-VAD is useful whenever audio VAD (A-VAD) is inefficient either becaus…
CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification
Guillaume Delorme, Yihong Xu, Stephane Lathuilière +2
Unsupervised person re-ID is the task of identifying people on a target data set for which the ID labels are unavailable during training. In this paper, we propose to unify two tre…
Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View
Benoit Massé, Stéphane Lathuilière, Pablo Mesejo +1
In this paper we address the problems of detecting objects of interest in a video and of estimating their locations, solely from the gaze directions of people present in the video.…
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model
Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda +1
In this paper, we address the problem of how to robustly train a ConvNet for regression, or deep robust regression. Traditionally, deep regression employs the L2 loss function, kno…
A Comprehensive Analysis of Deep Regression
Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda +1
Deep learning revolutionized data science, and recently its popularity has grown exponentially, as did the amount of papers employing deep networks. Vision tasks, such as human pos…