activity
20152022
most citedImproving Multiple Object Tracking with Optical Flow and Edge Preprocessing

9 citations · 32 across the 18 of their papers we have counts for

collaborators

35 papers

cs.CV2022

Improving tracking with a tracklet associator

Rémi Nahon, Guillaume-Alexandre Bilodeau, Gilles Pesant

Multiple object tracking (MOT) is a task in computer vision that aims to detect the position of various objects in videos and to associate them to a unique identity. We propose an…

cs.CV20221 cited

4D-MultispectralNet: Multispectral Stereoscopic Disparity Estimation using Human Masks

Philippe Duplessis-Guindon, Guillaume-Alexandre Bilodeau

Multispectral stereoscopy is an emerging field. A lot of work has been done in classical stereoscopy, but multispectral stereoscopy is not studied as frequently. This type of stere…

cs.CV2022

ActAR: Actor-Driven Pose Embeddings for Video Action Recognition

Soufiane Lamghari, Guillaume-Alexandre Bilodeau, Nicolas Saunier

Human action recognition (HAR) in videos is one of the core tasks of video understanding. Based on video sequences, the goal is to recognize actions performed by humans. While HAR…

cs.LG20225 cited

Transformers for 1D Signals in Parkinson's Disease Detection from Gait

Duc Minh Dimitri Nguyen, Mehdi Miah, Guillaume-Alexandre Bilodeau +1

This paper focuses on the detection of Parkinson's disease based on the analysis of a patient's gait. The growing popularity and success of Transformer networks in natural language…

cs.CV2022

VPTR: Efficient Transformers for Video Prediction

Xi Ye, Guillaume-Alexandre Bilodeau

In this paper, we propose a new Transformer block for video future frames prediction based on an efficient local spatial-temporal separation attention mechanism. Based on this new…

cs.CL20211 cited

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…