activity
20242026
collaborators

6 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.SD2025

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…

cs.CV2024

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…