288 citations · 453 across the 42 of their papers we have counts for
9 papers · 1 filter
Local Anomaly Detection in Videos using Object-Centric Adversarial Learning
Pankaj Raj Roy, Guillaume-Alexandre Bilodeau, Lama Seoud
We propose a novel unsupervised approach based on a two-stage object-centric adversarial framework that only needs object regions for detecting frame-level local anomalies in video…
A Grid-based Representation for Human Action Recognition
Soufiane Lamghari, Guillaume-Alexandre Bilodeau, Nicolas Saunier
Human action recognition (HAR) in videos is a fundamental research topic in computer vision. It consists mainly in understanding actions performed by humans based on a sequence of…
An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes
Mehdi Miah, Justine Pepin, Nicolas Saunier +1
This paper addresses the problem of selecting appearance features for multiple object tracking (MOT) in urban scenes. Over the years, a large number of features has been used for M…
Unsupervised Disentanglement GAN for Domain Adaptive Person Re-Identification
Yacine Khraimeche, Guillaume-Alexandre Bilodeau, David Steele +1
While recent person re-identification (ReID) methods achieve high accuracy in a supervised setting, their generalization to an unlabelled domain is still an open problem. In this p…
Domain Siamese CNNs for Sparse Multispectral Disparity Estimation
David-Alexandre Beaupre, Guillaume-Alexandre Bilodeau
Multispectral disparity estimation is a difficult task for many reasons: it has all the same challenges as traditional visible-visible disparity estimation (occlusions, repetitive…
RN-VID: A Feature Fusion Architecture for Video Object Detection
Hughes Perreault, Maguelonne Héritier, Pierre Gravel +2
Consecutive frames in a video are highly redundant. Therefore, to perform the task of video object detection, executing single frame detectors on every frame without reusing any in…
Supervised and Unsupervised Detections for Multiple Object Tracking in Traffic Scenes: A Comparative Study
Hui-Lee Ooi, Guillaume-Alexandre Bilodeau, Nicolas Saunier
In this paper, we propose a multiple object tracker, called MF-Tracker, that integrates multiple classical features (spatial distances and colours) and modern features (detection l…
Tracking Road Users using Constraint Programming
Alexandre Pineault, Guillaume-Alexandre Bilodeau, Gilles Pesant
In this paper, we aim at improving the tracking of road users in urban scenes. We present a constraint programming (CP) approach for the data association phase found in the trackin…
SpotNet: Self-Attention Multi-Task Network for Object Detection
Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier +1
Humans are very good at directing their visual attention toward relevant areas when they search for different types of objects. For instance, when we search for cars, we will look…