4 papers
MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection
Saad Lahlali, Alexandre Fournier Montgieux, Nicolas Granger +2
Annotating 3D data remains a costly bottleneck for 3D object detection, motivating the development of weakly supervised annotation methods that rely on more accessible 2D box annot…
xMOD: Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D motion
Saad Lahlali, Sandra Kara, Hejer Ammar +4
Object discovery, which refers to the task of localizing objects without human annotations, has gained significant attention in 2D image analysis. However, despite this growing int…
GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation
Florian Chabot, Nicolas Granger, Guillaume Lapouge
The Bird's-eye View (BeV) representation is widely used for 3D perception from multi-view camera images. It allows to merge features from different cameras into a common space, pro…
ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels Only
Saad Lahlali, Nicolas Granger, Hervé Le Borgne +1
3D object detection plays a crucial role in various applications such as autonomous vehicles, robotics and augmented reality. However, training 3D detectors requires a costly preci…