6 papers
Style-Based Neural Architectures for Real-Time Weather Classification
Hamed Ouattara, Pascal Houssam Salmane, Pierre Duthon +2
In this paper, we present three neural network architectures designed for real-time classification of weather conditions (sunny, rain, snow, fog) from images. These models, inspire…
Stylistic-STORM (ST-STORM) : Perceiving the Semantic Nature of Appearance
Hamed Ouattara, Pierre Duthon, Pascal Houssam Salmane +2
One of the dominant paradigms in self-supervised learning (SSL), illustrated by MoCo or DINO, aims to produce robust representations by capturing features that are insensitive to c…
Heuristic Style Transfer for Real-Time, Efficient Weather Attribute Detection
Hamed Ouattara, Pierre Duthon, Pascal Houssam Salmane +2
We present lightweight and efficient architectures to detect weather conditions from RGB images, predicting the weather type (sunny, rain, snow, fog) and 11 complementary attribute…
StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception
Marcel Vosshans, Omar Ait-Aider, Youcef Mezouar +1
This paper presents StixelNExT++, a novel approach to scene representation for monocular perception systems. Building on the established Stixel representation, our method infers 3D…
StixelNExT: Toward Monocular Low-Weight Perception for Object Segmentation and Free Space Detection
Marcel Vosshans, Omar Ait-Aider, Youcef Mezouar +1
In this work, we present a novel approach for general object segmentation from a monocular image, eliminating the need for manually labeled training data and enabling rapid, straig…
CoopScenes: Multi-Scene Infrastructure and Vehicle Data for Advancing Collective Perception in Autonomous Driving
Marcel Vosshans, Alexander Baumann, Matthias Drueppel +4
The increasing complexity of urban environments has underscored the potential of effective collective perception systems. To address these challenges, we present the CoopScenes dat…