288 citations · 346 across the 24 of their papers we have counts for
25 papers
Semantic Slots for Video Object-Centric Learning
Khalil Sabri, Guillaume-Alexandre Bilodeau, Nicolas Saunier +1
Video Object-Centric Learning (OCL) has traditionally focused on refining the encoder architecture to ensure temporal consistency. In this paper, we argue that the primary bottlene…
Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations
Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau +1
Understanding and monitoring human behavior in metro stations play an important role in supporting suicide prevention efforts, where early identification of high-risk situations ca…
Dual-Stream Attention with Multi-Modal Queries for Object Detection in Transportation Applications
Noreen Anwar, Guillaume-Alexandre Bilodeau, Wassim Bouachir
Transformer-based object detectors often struggle with occlusions, fine-grained localization, and computational inefficiency caused by fixed queries and dense attention. We propose…
InceptoFormer: A Multi-Signal Neural Framework for Parkinson's Disease Severity Evaluation from Gait
Safwen Naimi, Arij Said, Wassim Bouachir +1
We present InceptoFormer, a multi-signal neural framework designed for Parkinson's Disease (PD) severity evaluation via gait dynamics analysis. Our architecture introduces a 1D ada…
SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition
Alaa Nfissi, Wassim Bouachir, Nizar Bouguila +1
In the field of human-computer interaction and psychological assessment, speech emotion recognition (SER) plays an important role in deciphering emotional states from speech signal…
ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOL
Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau
To extract robust and generalizable skeleton action recognition features, large amounts of well-curated data are typically required, which is a challenging task hindered by annotat…
Unveiling Hidden Factors: Explainable AI for Feature Boosting in Speech Emotion Recognition
Alaa Nfissi, Wassim Bouachir, Nizar Bouguila +1
Speech emotion recognition (SER) has gained significant attention due to its several application fields, such as mental health, education, and human-computer interaction. However,…
Iterative Feature Boosting for Explainable Speech Emotion Recognition
Alaa Nfissi, Wassim Bouachir, Nizar Bouguila +1
In speech emotion recognition (SER), using predefined features without considering their practical importance may lead to high dimensional datasets, including redundant and irrelev…
STF: Spatio-Temporal Fusion Module for Improving Video Object Detection
Noreen Anwar, Guillaume-Alexandre Bilodeau, Wassim Bouachir
Consecutive frames in a video contain redundancy, but they may also contain relevant complementary information for the detection task. The objective of our work is to leverage this…
Detection of Micromobility Vehicles in Urban Traffic Videos
Khalil Sabri, Célia Djilali, Guillaume-Alexandre Bilodeau +2
Urban traffic environments present unique challenges for object detection, particularly with the increasing presence of micromobility vehicles like e-scooters and bikes. To address…
1D-Convolutional transformer for Parkinson disease diagnosis from gait
Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau
This paper presents an efficient deep neural network model for diagnosing Parkinson's disease from gait. More specifically, we introduce a hybrid ConvNet-Transformer architecture t…
Automatic counting of planting microsites via local visual detection and global count estimation
Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila
In forest industry, mechanical site preparation by mounding is widely used prior to planting operations. One of the main problems when planning planting operations is the difficult…
Automating lichen monitoring in ecological studies using instance segmentation of time-lapse images
Safwen Naimi, Olfa Koubaa, Wassim Bouachir +5
Lichens are symbiotic organisms composed of fungi, algae, and/or cyanobacteria that thrive in a variety of environments. They play important roles in carbon and nitrogen cycling, a…
HCT: Hybrid Convnet-Transformer for Parkinson's disease detection and severity prediction from gait
Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau
In this paper, we propose a novel deep learning method based on a new Hybrid ConvNet-Transformer architecture to detect and stage Parkinson's disease (PD) from gait data. We adopt…
VisiTherS: Visible-thermal infrared stereo disparity estimation of human silhouette
Noreen Anwar, Philippe Duplessis-Guindon, Guillaume-Alexandre Bilodeau +1
This paper presents a novel approach for visible-thermal infrared stereoscopy, focusing on the estimation of disparities of human silhouettes. Visible-thermal infrared stereo poses…
Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction
Majid Nikougoftar Nategh, Ahmed Zgaren, Wassim Bouachir +1
Site preparation by mounding is a commonly used silvicultural treatment that improves tree growth conditions by mechanically creating planting microsites called mounds. Following s…
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…
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…
Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters
Ahmed Zgaren, Wassim Bouachir, Riadh Ksantini
During the last years, deep learning trackers achieved stimulating results while bringing interesting ideas to solve the tracking problem. This progress is mainly due to the use of…
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait
Imanne El Maachi, Guillaume-Alexandre Bilodeau, Wassim Bouachir
Diagnosing Parkinson's disease is a complex task that requires the evaluation of several motor and non-motor symptoms. During diagnosis, gait abnormalities are among the important…
Posture recognition using an RGB-D camera : exploring 3D body modeling and deep learning approaches
Mohamed El Amine Elforaici, Ismail Chaaraoui, Wassim Bouachir +2
The emergence of RGB-D sensors offered new possibilities for addressing complex artificial vision problems efficiently. Human posture recognition is among these computer vision pro…
Multi-Branch Siamese Networks with Online Selection for Object Tracking
Zhenxi Li, Guillaume-Alexandre Bilodeau, Wassim Bouachir
In this paper, we propose a robust object tracking algorithm based on a branch selection mechanism to choose the most efficient object representations from multi-branch siamese net…
Reproducible Evaluation of Pan-Tilt-Zoom Tracking
Gengjie Chen, Pierre-Luc St-Charles, Wassim Bouachir +3
Tracking with a Pan-Tilt-Zoom (PTZ) camera has been a research topic in computer vision for many years. However, it is very difficult to assess the progress that has been made on t…