1 citations · 2 across the 5 of their papers we have counts for
5 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…
Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimationand 3D Object Detection
Nguyen Anh Minh Mai, Pierre Duthon, Louahdi Khoudour +2
The ability to accurately detect and localize objects is recognized as being the most important for the perception of self-driving cars. From 2D to 3D object detection, the most di…
What happens to a ToF LiDAR in fog?
You Li, Pierre Duthon, Michèle Colomb +1
This article focuses on analyzing the performance of a typical time-of-flight (ToF) LiDAR under fog environment. By controlling the fog density within CEREMA Adverse Weather Facili…