collaborators

5 papers

cs.CV2026

Dimensional Distribution Emotion State: Leveraging Valence and Arousal as a Common Embedding Space for Visual Emotion Analysis

Émile Bergeron, Tadagbé Dhossou, Sébastien Tremblay +1

Museums are important sites for the dissemination of culture and art. They are institutions rooted in history and tradition; their exhibitions are often designed to highlight these…

cs.CV2024

Adversarial Bounding Boxes Generation (ABBG) Attack against Visual Object Trackers

Fatemeh Nourilenjan Nokabadi, Jean-Francois Lalonde, Christian Gagné

Adversarial perturbations aim to deceive neural networks into predicting inaccurate results. For visual object trackers, adversarial attacks have been developed to generate perturb…

cs.CV2024

DarSwin-Unet: Distortion Aware Encoder-Decoder Architecture

Akshaya Athwale, Ichrak Shili, Émile Bergeron +2

Wide-angle fisheye images are becoming increasingly common for perception tasks in applications such as robotics, security, and mobility (e.g. drones, avionics). However, current m…

cs.CV2024

TrackPGD: Efficient Adversarial Attack using Object Binary Masks against Robust Transformer Trackers

Fatemeh Nourilenjan Nokabadi, Yann Batiste Pequignot, Jean-Francois Lalonde +1

Adversarial perturbations can deceive neural networks by adding small, imperceptible noise to the input. Recent object trackers with transformer backbones have shown strong perform…

cs.CV2024

Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers

Fatemeh Nourilenjan Nokabadi, Jean-François Lalonde, Christian Gagné

New transformer networks have been integrated into object tracking pipelines and have demonstrated strong performance on the latest benchmarks. This paper focuses on understanding…