10.8k citations
- Université de MontréalCA35 papers
- McGill UniversityCA25 papers
- Centre National de la Recherche ScientifiqueFR19 papers
- École de Technologie SupérieureCA13 papers
- Stanford UniversityUS13 papers
- Louisiana State UniversityUS12 papers
- Concordia UniversityCA11 papers
- Cornell UniversityUS11 papers
- Georgia Institute of TechnologyUS11 papers
- Sorbonne UniversitéFR11 papers
- Université Paris-SaclayFR11 papers
- University College LondonGB11 papers
8 papers · 2 filters
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…
Simple Video Generation using Neural ODEs
David Kanaa, Vikram Voleti, Samira Ebrahimi Kahou +1
Despite having been studied to a great extent, the task of conditional generation of sequences of frames, or videos, remains extremely challenging. It is a common belief that a key…
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…
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…
Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems
Clément Playout, Ola Ahmad, Freddy Lecue +1
Advanced Driver-Assistance Systems rely heavily on perception tasks such as semantic segmentation where images are captured from large field of view (FoV) cameras. State-of-the-art…