288 citations · 453 across the 42 of their papers we have counts for
10 papers · 1 filter
Leveraging Sentiment Analysis Knowledge to Solve Emotion Detection Tasks
Maude Nguyen-The, Guillaume-Alexandre Bilodeau, Jan Rockemann
Identifying and understanding underlying sentiment or emotions in text is a key component of multiple natural language processing applications. While simple polarity sentiment anal…
PolyTrack: Tracking with Bounding Polygons
Gaspar Faure, Hughes Perreault, Guillaume-Alexandre Bilodeau +1
In this paper, we present a novel method called PolyTrack for fast multi-object tracking and segmentation using bounding polygons. Polytrack detects objects by producing heatmaps o…
Multi-Object Tracking and Segmentation with a Space-Time Memory Network
Mehdi Miah, Guillaume-Alexandre Bilodeau, Nicolas Saunier
We propose a method for multi-object tracking and segmentation based on a novel memory-based mechanism to associate tracklets. The proposed tracker, MeNToS, addresses particularly…
Vehicle Detection and Tracking From Surveillance Cameras in Urban Scenes
Oumayma Messoussi, Felipe Gohring de Magalhaes, Francois Lamarre +4
Detecting and tracking vehicles in urban scenes is a crucial step in many traffic-related applications as it helps to improve road user safety among other benefits. Various challen…
FFAVOD: Feature Fusion Architecture for Video Object Detection
Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier +1
A significant amount of redundancy exists between consecutive frames of a video. Object detectors typically produce detections for one image at a time, without any capabilities for…
CenterPoly: real-time instance segmentation using bounding polygons
Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier +1
We present a novel method, called CenterPoly, for real-time instance segmentation using bounding polygons. We apply it to detect road users in dense urban environments, making it s…
MeNToS: Tracklets Association with a Space-Time Memory Network
Mehdi Miah, Guillaume-Alexandre Bilodeau, Nicolas Saunier
We propose a method for multi-object tracking and segmentation (MOTS) that does not require fine-tuning or per benchmark hyperparameter selection. The proposed method addresses par…
Predicting Next Local Appearance for Video Anomaly Detection
Pankaj Raj Roy, Guillaume-Alexandre Bilodeau, Lama Seoud
We present a local anomaly detection method in videos. As opposed to most existing methods that are computationally expensive and are not very generalizable across different video…
Multiple Convolutional Features in Siamese Networks for Object Tracking
Zhenxi Li, Guillaume-Alexandre Bilodeau, Wassim Bouachir
Siamese trackers demonstrated high performance in object tracking due to their balance between accuracy and speed. Unlike classification-based CNNs, deep similarity networks are sp…
MFST: Multi-Features Siamese Tracker
Zhenxi Li, Guillaume-Alexandre Bilodeau, Wassim Bouachir
Siamese trackers have recently achieved interesting results due to their balance between accuracy and speed. This success is mainly due to the fact that deep similarity networks we…